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127
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CVPR
2011
IEEE
14 years 10 months ago
Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model
In this paper, we present an unsupervised method for mining activities in videos. From unlabeled video sequences of a scene, our method can automatically recover what are the recu...
Ré, mi Emonet, Jagannadan Varadarajan, Jean-Marc ...
149
Voted
TKDE
2011
186views more  TKDE 2011»
14 years 9 months ago
Discovering Activities to Recognize and Track in a Smart Environment
—The machine learning and pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals expe...
Parisa Rashidi, Diane J. Cook, Lawrence B. Holder,...
113
Voted
JMLR
2010
172views more  JMLR 2010»
14 years 9 months ago
Modeling annotator expertise: Learning when everybody knows a bit of something
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...
Yan Yan, Rómer Rosales, Glenn Fung, Mark W....
122
Voted
SIGKDD
2010
151views more  SIGKDD 2010»
14 years 9 months ago
Limitations of matrix completion via trace norm minimization
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
Xiaoxiao Shi, Philip S. Yu
118
Voted
SJ
2010
158views more  SJ 2010»
14 years 9 months ago
Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems
The main sources of emission today are from the electric power and transportation sectors. One of the main goals of a cyber-physical energy system (CPES) is the integration of rene...
A. Y. Saber, Ganesh K. Venayagamoorthy
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