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148
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
212
Voted
CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
This paper focus on understanding human visual system when it decodes or recognizes facial expressions. Results presented can be exploited by the computer vision research communit...
271
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
256
Voted
CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
184
Voted
ECCV
2002
Springer
16 years 8 months ago
2002
Springer
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...