Events Add an event Speakers Talks Collections
 

Speakers

Sort by
Newest
Trending
1-30 of 56
1-30 of 56
Filter
Rishabh Mehrotra
Senior Research Scientist at Spotify
computer science 2020, accuracy and precision, acm 2020, action selection, amazon (company), artificial intelligence, association for computing machinery, automated machine learning, automation, behavior, bias, brand, case study, codec, complexity, computer vision, computing, data science, database, deep learning, emotion, evidence, experiment, facebook, feature engineering, feedback, function (mathematics), herbicide, human, information, inner product space, intelligence, itunes, kdd2020, kdd2020 tutorial, linear algebra, linearity, machine learning, mass media, mathematical optimization, motivation, motor control, nasa, predation, prediction, question, reason, recommender system, research, science, signal, spotify, system, time complexity, training, validation, and test sets, video, weak supervision, weed
Francois Goldfain
Director Of Engineering at Google
android (operating system), api, aspect ratio (image), av1, camera, codec, data compression, graduate record examinations, high efficiency video coding, image file formats, image stabilization, jpeg, kodi (software), latency (engineering), new media, patch (computing), photography, pipeline (software), pr_pr: google i/o, purpose: educate, slow motion, software bug, streaming media, type: conference talk (full production), video, video codec, video quality, youtube
Karthic Veera
Product at Google
android (operating system), api, aspect ratio (image), av1, camera, codec, data compression, graduate record examinations, high efficiency video coding, image file formats, image stabilization, jpeg, kodi (software), latency (engineering), new media, patch (computing), photography, pipeline (software), pr_pr: google i/o, purpose: educate, slow motion, software bug, streaming media, type: conference talk (full production), video, video codec, video quality, youtube
François Chollet
Artificial Intelligence Researcher at Google
#googleio, abstraction, adolescence, ai researcher, algorithm, android (operating system), api, artificial intelligence, autoencoder, automation, average, boilerplate code, c++, cloud computing, codec, computer, computer programming, computer vision, concept, conceptual model, conjecture, cross entropy, data compression, data model, deep learning, design, distributed computing, email, embedding, experiment, francois chollet, function (mathematics), google, google announcement, google conference, google developer conference, google i/o, google io, graphics processing unit, imagination, ios, javascript, keras, keras vs tensorflow, kullback–leibler divergence, logic, long short-term memory, low level tensorflow, machine learning, machine learning library, mathematical proof, mathematics, matroid, mean, mean squared error, microsoft, mind, ml conference, modern keras, motivation, multi-core processor, music, normal distribution, nothing, perception, physics, piano, pixel, pr_pr: google i/o, probability distribution, purpose: educate, quantization (signal processing), reason, recursion, research, scaledml, scaledml2020, software , standard keras, swift (programming language), switch, system, tax, technical conference, technology, tensorflow, tensorflow 2021, tensorflow and keras, tensorflow code, theorem, truth, type: conference talk (full production), understanding, use case, variance, vector space, what’s new with tensorflow, world wide web, youtube
Martin Görner
Software Engineer at Google
#googleio, activation function, algorithm, alphago, analytics, api, application programming interface, artificial intelligence, artificial neural network, autoencoder, average, boilerplate code, central processing unit, cloud computing, codec, command-line interface, computer, cross entropy, curve, data compression, deepmind, design, email, encoding (memory), entropy (information theory), function (mathematics), google, google announcement, google cloud ml engine, google conference, google developer conference, google i/o, google io, gradient descent, graphics processing unit, histogram, hyperparameter (machine learning), infoq, input/output, javascript, keras, keras vs tensorflow, kullback–leibler divergence, learning, low level tensorflow, machine learning, machine learning library, mean, mean squared error, mode (statistics), modern keras, multi-core processor, music, neural network, neuron, normal distribution, parameter (computer programming), piano, pixel, pr_pr: google i/o, prediction, probability distribution, purpose: educate, python (programming language), qcon, qcon.ai, rail transport modelling, regularization (mathematics), reinforcement, reinforcement learning, sigmoid function, softmax function, standard keras, statistical classification, supervised learning, switch, technology, tensorboard, tensorflow, tensorflow 2021, tensorflow and keras, tensorflow code, training, validation, and test sets, type: conference talk (full production), variance, vector space, visualization (graphics), what’s new with tensorflow
Sanj Nathwani
Product Manager at Google
#googleio, android (operating system), api, apple inc., arm architecture, chrome, chrome developer, chrome development, chrome os, chrome os 2021, chrome os app updates, chrome os features, chrome os updates, chromebook, chromeos, codec, computer hardware, developers, google, google announcement, google conference. google, google developer conference, google i/o, google io, google play, lenovo, linux, linux updates, mobile app, new features in chrome os, personal computer, pr_pr: google i/o, purpose: inform, serial port, smartphone, software release life cycle, spotify, streaming media, tablet computer, type: conference talk (full production), upload, videotelephony, web, web application, webassembly, what’s new in chrome os, world wide web, zoom (software)
Emilie Roberts
Partner Developer Advocate at Google
#chromedevsummit, #googleio, 64-bit computing, accessibility, android (operating system), android software development, api, app input, apple inc., application software, apt (software), arm architecture, bluetooth, cds'19, cds19, chrome, chrome dev summit, chrome dev summit 19, chrome dev summit 2019, chrome developer, chrome developer summit, chrome developer summit 19, chrome developer summit 2019, chrome developers, chrome development, chrome os, chrome os 2021, chrome os app updates, chrome os features, chrome os updates, chromebook, chromeos, chromium (web browser), codec, computer hardware, computer keyboard, computer mouse, cross-platform software, cursor (user interface), d-pad, developers, device form-factors, drag and drop, event (computing), evernote, filezilla, firefox, firefox for android, flutter (software), form factor (mobile phones), game controller, gamepad, google, google announcement, google chrome, google chrome dev summit 19, google chrome dev summit 2019, google chrome developers, google conference. google, google developer conference, google developers, google i/o, google io, google play, human–computer interaction, icon (computing), inker, input device, input for chrome os, integrated development environment, keyboard layout, keyboard technology, lag, lenovo, linux, linux updates, menu (computing), midi, mobile app, mouse button, new features in chrome os, node.js, opera (web browser), operating system, package manager, personal computer, pipeline (computing), playstation 4, pointer (user interface), pr_pr: google i/o, purpose: educate, purpose: inform, serial port, shortcut (computing), smartphone, software release life cycle, spider-man, spotify, streaming media, support in input sources, synthesizer, tablet computer, touchpad, touchscreen, type: conference talk (full production), undo, upload, videotelephony, vulkan (api), web, web application, web browser, web components, web development, webassembly, website, what’s new in chrome os, window manager, world wide web, zoom (software)
Dan Sandler
Software Engineer at Google
#googleio, 64-bit computing, android, android (operating system), android dev, android developers, android developers updates, android development, android keynote 2021, bluetooth, chrome os, clipboard (computing), codec, cut, copy, and paste, data compression, developer tools for android studio, developing on android, file format, gif, google, google announcement, google assistant, google chrome, google conference, google developer conference, google i/o, google io, google play, google search, graphics processing unit, high efficiency image file format, high efficiency video coding, high-dynamic-range imaging, htc dream, image file formats, io keynote 2021, jpeg, latest android features 2021, library (computing), lock screen, microsoft windows, mobile app, new android updates 2021, operating system, palette (computing), portable network graphics, pr_pr: google i/o, privacy, purpose: inform, recent android news, rendering (computer graphics), software release life cycle, software testing, steam (service), tensorflow, texture mapping, toaster, type: conference talk (full production), updates to android, user interface, video codec, wallpaper (computing), wear os, web search engine, wi-fi, world wide web
Chet Haase
Leads the Android Toolkit team at Google
#askandroid, #askandroid at android dev summit recap, #askandroid livestream, #askandroid livestream segment, #askandroid recap, #googleio, 64-bit computing, abstraction, android, android (operating system), android dev, android developers, android developers updates, android development, android keynote 2021, android kitkat, android lollipop, android problems, android questions, android software development, application programming interface, application software, bird, bit, bluetooth, chet haase, chrome os, chromebook, clipboard (computing), codec, common android problems, common coding problems, compositing, computer file, computer font, computer keyboard, concept, conversation, coroutine, cortana, cotton, cursor (databases), cut, copy, and paste, data compression, database, defragmentation, developer problems, developer solutions, developer tools for android studio, developing on android, drawing, emulator, file format, fireside chats, florida, framebuffer, gds: yes;, gif, glide (api), google, google announcement, google assistant, google chrome, google conference, google developer conference, google i/o, google io, google logo, google play, google search, graphics processing unit, grayscale, high efficiency image file format, high efficiency video coding, high-dynamic-range imaging, htc dream, icon (computing), image file formats, information, io keynote 2021, ios, java (programming language), jetbrains, jpeg, kotlin, kotlin (programming language), language, laptop, latest android features 2021, library (computing), lighting, lock screen, machine, media player software, memory, memory management, metadata, method (computer programming), microsoft windows, mobile app, model–view–controller, my code doesn’t run, my code doesn’t work, negotiation, netherlands, new android updates 2021, object (computer science), object type (object-oriented programming), opengl, operating system, palette (computing), pipeline (computing), portable network graphics, pr_pr: google i/o, privacy, product lifecycle, purpose: inform, random-access memory, real-time computer graphics, reason, recent android news, rendering (computer graphics), research, sanity check, scotland, screenshot, shader, siri, software , software release life cycle, software testing, spotify, steam (service), streaming media, switch, tablet computer, tensorflow, texture mapping, thread (computing), toaster, tor norbye, twitter, type: conference talk (full production), updates to android, user experience, user interface, vector graphics, video codec, vulkan (api), wallpaper (computing), wear os, web search engine, what’s wrong with my code, wi-fi, world wide web, xml, youtube
Romain Guy
Senior Staff Software Engineer at Google
#googleio, 1080p, 3d computer graphics, 64-bit computing, abstraction, adobe photoshop, android, android (operating system), android application package, android dev, android dev summit '19, android dev summit 2019, android developers, android developers summit 2019, android developers updates, android development, android devs, android devs 2019, android jetpack, android jetpack updates, android keynote 2021, android kitkat, android lollipop, android software development, announcement, application programming interface, application software, augmented reality, autocomplete, blender (software), blog, bluetooth, boolean algebra, boolean data type, c++, cache-friendly programming, camera, central processing unit, chrome os, chromebook, clipboard (computing), codec, color space, compose, compositing, computer, computer file, computer font, computer graphics lighting, computer hardware, computer keyboard, concept, contract, cpu, crashlytics, cross-platform software, cursor (databases), cut, copy, and paste, data compression, database, defragmentation, developer keynote io 2021, developer products 2021, developer tools for android studio, developing on android, diffusion, display resolution, division by zero, drawing, dynamic resolution, earth, emulator, event (computing), exponentiation, exposure (photography), feeling, filament rendering, filament rendering engine, file format, fitbit, floating-point arithmetic, frame skipping, framebuffer, function (mathematics), gif, glide (api), google, google announcement, google assistant, google chrome, google conference, google dev, google developer conference, google developer platform updates 2021, google developer product updates 2021, google developer products 2021, google developers, google i/o, google io, google logo, google maps, google play, google product areas, google product releases, google search, graphics processing unit, grayscale, high efficiency image file format, high efficiency video coding, high performance graphics, high performance programming, high-dynamic-range imaging, how to use jetpack compose, htc dream, http cookie, icon (computing), image file formats, immutable object, information, instruction set architecture, io keynote 2021, ios, java (programming language), javascript, jetbrains, jetpack, jetpack compose, jpeg, json, kotlin (programming language), laptop, latest android features 2021, library (computing), linux, lock screen, lux, machine learning, map, media player software, memory, memory management, messaging apps, metadata, metalloid, method (computer programming), microsoft excel, microsoft windows, mind, mobile app, model–view–controller, moon, multi-threaded job system, natural number, negotiation, new android updates 2021, new in android 2019, new in jetpack compose, normal mapping, number, object (computer science), object type (object-oriented programming), opengl, operating system, optimization friendly, palette (computing), perception, physics, pipeline (computing), planet, pointer (computer programming), portable network graphics, pr_pr: google i/o, privacy, product lifecycle, progressive web application, property, purpose: inform, random-access memory, real-time computer graphics, reason, recent android news, reflection (physics), rendering (computer graphics), research, runtime system, saturate cores, scene graph, scientific law, scope (computer science), screenshot, shader, sms, software , software bug, software release life cycle, software testing, solar system, spotify, srgb, steam (service), subscription business model, sun, system, tablet computer, tensorflow, texture mapping, the matrix, thread (computing), time, toaster, top 10 google products, top google products, transpose, twitter, type: conference talk (full production), updates to android, user interface, using small float formats, vector graphics, video codec, vulkan (api), wallpaper (computing), wear os, web search engine, webgl, webrtc, website, what is jetpack compose, what's new in jetpack, wi-fi, world wide web, xml, youtube
Mohamed Chaabane
PhD Student at Colorado State University
camera, cartesian coordinate system, codec, colorado state university, data, data compression, geo-localization, geometry, image, immigration, impedance matching, light, matrix (mathematics), metal, monocular, perception, rgb color model, sbar, subnetwork, sugar, tractor, traffic light, uber, urine, video, weather
Gianluigi Botton
Science Director at Canadian Light Source Inc.
artificial intelligence, artificial neural network, autoencoder, charge-coupled device, codec, convolutional neural network, data compression, data science, deconvolution, deep learning, digitization, distortion, electron, electron microscope, image segmentation, machine learning, microscope, modulation, noise reduction, photonics, python 2021, python tutorial, science, science research, scipy library, scipy tools, scipy tutorial, signal, software engineering, spectral density, spectroscopy, spectrum, statistical classification, statistics, transmission electron microscopy
Alexandre Pofelski
Postdoctoral Researcher at McMaster University
artificial intelligence, artificial neural network, autoencoder, charge-coupled device, codec, convolutional neural network, data compression, data science, deconvolution, deep learning, digitization, distortion, electron, electron microscope, image segmentation, machine learning, microscope, modulation, noise reduction, photonics, python 2021, python tutorial, science, science research, scipy library, scipy tools, scipy tutorial, signal, software engineering, spectral density, spectroscopy, spectrum, statistical classification, statistics, transmission electron microscopy
Shayan Mousavi s
Research Assistant at anadian Center of Electron Microscopy
artificial intelligence, artificial neural network, autoencoder, charge-coupled device, codec, convolutional neural network, data compression, data science, deconvolution, deep learning, digitization, distortion, electron, electron microscope, image segmentation, machine learning, microscope, modulation, noise reduction, photonics, python 2021, python tutorial, science, science research, scipy library, scipy tools, scipy tutorial, signal, software engineering, spectral density, spectroscopy, spectrum, statistical classification, statistics, transmission electron microscopy
Liang Zhang
Global Sales Strategy & Operations at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, apache spark, api, application software, applications at linkedin, array data structure, array data type, art, artificial intelligence tutorial, artificial neural network, assembly language, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), color, common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data conversion, data science tutorial, data type, debugging, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , file system, film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, library (computing), likelihood function, linear combination, linearity, linkedin, literature, loader (computing), logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parameter (computer programming), parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, preprocessor, protein–protein interaction, python (programming language), radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , source lines of code, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, string (computer science), subroutine, summation, supervised learning, support-vector machine, temporal topic localization, tensor, texas, three-dimensional space, training, validation, and test sets, transcription (linguistics), transformer (machine learning model), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Di Wen
Staff Software Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Yijie Dylan Wang
Software Engineering Manager at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, closed captioning, code-division multiple access, codec, coherence (physics), compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, film frame, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, likelihood function, linearity, linkedin, literature, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimodality, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, sms, social networking service, softmax function, space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video search, video search engine, video understanding, weight, youtube
Bharat Jain
Data Scientist at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Nikita Gupta
Senior Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Suhit Sinha
Senior Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Sumit Srivastava
Staff Applied Research Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Sirjan Kafle
Senior Machine Learning Engineer, Multimedia AI at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Aman Gupta
Senior Machine Learning Scientist at LinkedIn Multimedia AI
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), average, baby talk, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, data, data compression, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, energy, engine, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , film frame, finite set, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, nature, navigation, neural network, news, non-local networks and slowfast, nothing, number, object detection, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, weight, youtube
Ananth Sankar
Principal Staff Engineer at LinkedIn
before deep learning , artificial intelligence , artificial intelligence tutorial, computer science conference , feed and ads modeling, introduction to multimedia, visio-lingual representations, 3d cnns, accent (sociolinguistics), accuracy and precision, acm 2020 tutorial, acoustic model, action recognition, ads recommendation, advertising, ai, algorithm, angle, apache hadoop, api, application software, applications at linkedin, art, artificial intelligence tutorial, artificial neural network, association for computing machinery, attention, attention (machine learning), automatic summarization, average, baby talk, backpropagation, bag-of-words model, bangalore, beef, before deep learning , bible, bichon frise, black box, cartesian coordinate system, castle, central processing unit, click-through rate, closed captioning, code-division multiple access, codec, coherence (physics), common technologies for feed and ads recommendation, compass, computer, computer graphics, computer performance, computer science tutorial, computer science tutorials, computer vision, computer vision 2020, computing, concept, convolution, convolutional neural network, cosine similarity, cross entropy, data, data compression, data science, data science tutorial, deconvolution, deep learning, deep learning and cnns, deep learnning, deep learnning tutorial, definition, depiction, design, desk, diagram, diamond, digital image processing, dimension, dsgmm and deep cluster-and-aggregate method, dynamic programming, education, email spam, encoding (memory), energy, engine, english language, enzyme kinetics, equation, essay, euclidean vector, experiment, extract, transform, load, feature (machine learning), feature extraction, feature learning, feed recommendation , feedforward neural network, film frame, finite set, four-dimensional space, function (mathematics), gas, gender, gradient, grayscale, hidden markov model, histogram, history, hyperparameter optimization, image embeddings, image representations , image segmentation, image understanding, imagenet, improvements on 3d cnn, improvements on 3d cnns and two-stream, infection, information, information retrieval, input/output, inspection, instagram, intelligence, interface (computing), internet, introduction - feed, ads, search and spam, inverted index, k-means clustering, kdd2020 tutorials, language, language model, learning, lecture-style tutorials, letter case, likelihood function, linear combination, linearity, linkedin, literature, logic, long short-term memory, machine, machine learning, map, markov chain, markov model, mathematical optimization, matrix (mathematics), mean, meme, memory, metric learning for images, metric space, microsoft, mind, mixture model, mobile app, monotonic function, motivation, moving average, mp3, multimedia, multimedia infrastructure, multimedia search, multimodality, multivariate random variable, music, natural language processing, nature, navigation, neural network, neural networks, news, non-local networks and slowfast, nothing, number, object detection, odsc, odsc india, online and offline, optical character recognition, optical flow, optimization for cnns, oracle corporation, parameter, parity bit, phoneme, pixel, plasterwork, podcast, precision and recall, prediction, protein–protein interaction, radio, reason, recommender system, recurrent neural network, research, robust statistics, satya nadella, search algorithm, search engine, search engine indexing, self-supervised learning, self-supervised video embeddings, semantics, sense, signal, similarity learning, simulation, sms, social media, social networking service, softmax function, software , space, spam detection, spamming, spectral density, spectrogram, speech, speech recognition, speech technologies for video understanding, spotify, statistical classification, statistics, streaming media, summation, supervised learning, support-vector machine, temporal topic localization, texas, three-dimensional space, transcription (linguistics), transmission (mechanics), truck, two-stream networks, typing, understanding, unsupervised learning, upload, use case, vanishing gradient problem, variance, vector graphics, vector space, video, video captioning, video classification, video embeddings and networks, video game, video game console, video game live streaming, video representations used in production, video search, video search engine, video understanding, vocabulary, weight, youtube
Shalini Ghosh
Principal Research Scientist at Amazon Science (Alexa team)
acm 2020, art, artificial intelligence, attention, bicycle, categorization, codec, computer science 2020, computer science event 2020, computer vision, correlation and dependence, deep learning, energy, equation, future, innovation, kdd2020, machine learning, metadata, mind, multimodality, music, natural language processing, netflix, nonlinear system, prediction, reason, research, smart tv, visual perception, youtube
Todd Hollon
Neurosurgeon at University of Michigan
algorithm, brain, cell nucleus, codec, convolutional neural network, histology, human brain, image resolution, laser, learning, machine learning, medical imaging, microscope, noise reduction, normal distribution, optical aberration, perception, protein, research, rgb color model, semi-supervised learning, signal, tissue (biology), wavelength
Honglak Lee
Senior Vice President and Chief Scientist of Artificial Intelligence at LG AI Research
algorithm, brain, cell nucleus, codec, convolutional neural network, histology, human brain, image resolution, laser, learning, machine learning, medical imaging, microscope, noise reduction, normal distribution, optical aberration, perception, protein, research, rgb color model, semi-supervised learning, signal, tissue (biology), wavelength
Daniel Orringer
Associate Professor at NYU Langone Health
algorithm, brain, cell nucleus, codec, convolutional neural network, histology, human brain, image resolution, laser, learning, machine learning, medical imaging, microscope, noise reduction, normal distribution, optical aberration, perception, protein, research, rgb color model, semi-supervised learning, signal, tissue (biology), wavelength
Christian Freudiger
Co-Founder and Vice President, R&D at Invenio Imaging Inc.
algorithm, brain, cell nucleus, codec, convolutional neural network, histology, human brain, image resolution, laser, learning, machine learning, medical imaging, microscope, noise reduction, normal distribution, optical aberration, perception, protein, research, rgb color model, semi-supervised learning, signal, tissue (biology), wavelength
Esteban Urias
Research Assistant-Laboratory of Cell and Carbohydrate Engineering at Johns Hopkins University
algorithm, brain, cell nucleus, codec, convolutional neural network, histology, human brain, image resolution, laser, learning, machine learning, medical imaging, microscope, noise reduction, normal distribution, optical aberration, perception, protein, research, rgb color model, semi-supervised learning, signal, tissue (biology), wavelength
1 2
1-30 of 56