YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research
Sep 4th, 2019: Released the MediaPipe YouTube-8M feature extractor which extracts both visual and audio features. Jun 27th, 2019: Released the YouTube-8M Segments dataset. May 14th, 2018: Released an update to the dataset, with improved quality machine-generated labels, and reduced size / higher-quality video dataset. (YouTube-8M 2018). The YouTube-8M Segments dataset is an extension of the YouTub
Achieving Rapid Response Times in Large Online Services - Jeff Dean
Achieving Rapid Response Times in Large Online Services Jeff Dean Google Fellow jeff@google.com Monday, March 26, 2012 Faster Is Better Monday, March 26, 2012 Faster Is Better Monday, March 26, 2012 Large Fanout Services Monday, March 26, 2012 • Overall latency ≥ latency of slowest component –small blips on individual machines cause delays –touching more machines increases likelihood of delays • S
Detecting Adversarial Advertisements in the Wild
Detecting Adversarial Advertisements in the Wild D. Sculley Google, Inc. dsculley@google.com Matthew Eric Otey Google, Inc. otey@google.com Michael Pohl Google, Inc. mpohl@google.com Bridget Spitznagel Google, Inc. drsprite@google.com John Hainsworth Google, Inc. hainsworth@google.com Yunkai Zhou Google, Inc. yunkaiz@google.com ABSTRACT In a large online advertising system, adversaries may at- tem
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Towards Better Measurement of Attention and Satisfaction in Mobile Search
Up Next: Retrieval Methods for Large Scale Related Video Suggestion
Quizz: Targeted Crowdsourcing with a Billion (Potential) Users
User Demographics and Language in an Implicit Social Network
App Isolation: Get the Security of Multiple Browsers with Just One
Tenzing A SQL Implementation On The MapReduce Framework
A Hierarchical Conditional Random Field Model for Labeling and Segmenting Images of Street Scenes
http://research.google.com/pubs/archive/37070.pdf
Publications – Google Research