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CIKM
2010
Springer
15 years 4 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
CVPR
2011
IEEE
15 years 2 months ago
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds
Active learning and crowdsourcing are promising ways to efficiently build up training sets for object recognition, but thus far techniques are tested in artificially controlled ...
Sudheendra Vijayanarasimhan, Kristen Grauman
TEC
2010
143views more  TEC 2010»
15 years 1 months ago
Active Categorical Perception of Object Shapes in a Simulated Anthropomorphic Robotic Arm
Active perception refers to a theoretical approach to the study of perception grounded on the idea that perceiving is a way of acting, rather than a process whereby the brain const...
Elio Tuci, Gianluca Massera, Stefano Nolfi
191
Voted
CVPR
2009
IEEE
17 years 1 months ago
(De) Focusing on Global Light Transport for Active Scene Recovery
Most active scene recovery techniques assume that a scene point is illuminated only directly by the illumination source. Consequently, global illumination effects due to inter-refl...
Li Zhang, Mohit Gupta, Srinivasa G. Narasimhan, Yu...
CVPR
2004
IEEE
16 years 8 months ago
Detecting Unusual Activity in Video
We present an unsupervised technique for detecting unusual activity in a large video set using many simple features. No complex activity models and no supervised feature selection...
Hua Zhong, Jianbo Shi, Mirkó Visontai