[DL輪読会]data2vec: A General Framework for Self-supervised Learning in Speech,...Deep Learning JP
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[DL輪読会]data2vec: A General Framework for Self-supervised Learning in Speech,...Deep Learning JP
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades Xinran He1 XINRANHE@USC.EDU Theodoros Rekatsinas2 THODREK@CS.UMD.EDU James Foulds3 JFOULDS@UCSC.EDU Lise Getoor3 GETOOR@SOE.UCSC.EDU Yan Liu1 YANLIU.CS@USC.EDU 1 University of Southern California, 2 University of Maryland, College Park, 3 University of California, Santa Cruz Abstract Understanding the diff
OpenCVのカレンダー | Advent Calendar 2015 - Qiita
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CVPR2015読み会 "Joint Tracking and Segmentation of Multiple Targets"
第30回（前編） コンピュータビジョン勉強会＠関東 http://kantocv.connpass.com/event/16586/ CVPR2015読み会発表資料 "Joint Tracking and Segmentation of Multiple Targets"
Collaborative Deep Learning for Recommender Systems (KDD 2015) 読んだ - 糞糞糞ネット弁慶
[1409.2944] Collaborative Deep Learning for Recommender Systems 同タイトルの論文 ( TeX のフォーマットは NIPS で用いられているもの) が arXiv にアップロードされていたので読んだ． Collaborative Topic Regression (CTR) と Stacked Denoising AutoEncoder (SDAE) を組み合わせて推薦を行う． Collaborative Topic Regression (CTR) Collaborative Topic Modeling for Recommending Scientific Articles (KDD 2011) この論文，CTR さえ分かってしまえばあとはどうにかなる． まず入力として，I 人のユーザと J 個アイテムの 0/1 レーティ
人工知能のカレンダー | Advent Calendar 2015 - Qiita
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Machine Learningのカレンダー | Advent Calendar 2015 - Qiita
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Shell Scriptのカレンダー | Advent Calendar 2015 - Qiita
最近何かと話題に挙がっている（ような）シェルスクリプト。 枯れた技術だからこそ、良さ悪さ含め盛り上げていきましょう。 bash zsh fish ksh ash/dash POSIX sh
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https://www.semanticscholar.org/paper/Joint-Image-Text-News-Topic-Detection-and-Tracking-Li-Joo/32edcfec2d24dd6dd2a80315571e9b06e8365b26
Anton Milan - Joint Tracking and Segmentation
[Paper introduction] GMMCP-Tracker: Globally Optimal Generalized Max…![[Paper introduction] GMMCP-Tracker: Globally Optimal Generalized Max…](https://cdn-ak-scissors.b.st-hatena.com/image/square/6550579fb044084714e853212891f08e31e77e17/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Fcv-150724231756-lva1-app6892-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
CRCV | Center for Research in Computer Vision at the University of Central Florida
CRCV | Center for Research in Computer Vision at the University of Central Florida
https://www.robots.ox.ac.uk/~tvg/publications/2015/MOT_SSVM_CVPR15_V7_CamReady.pdf
Anton Milan - Joint Tracking and Segmentation
【2015.05】cvpaper.challenge@CVPR2015
arXiv:1605.08247v1 [cs.CV] 26 May 2016
VOT2015 Challenge | Home
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition