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» Learning human actions via information maximization
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HUMO
2007
Springer
15 years 3 months ago
Boosted Multiple Deformable Trees for Parsing Human Poses
Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture additiona...
Yang Wang 0003, Greg Mori
CHI
1997
ACM
15 years 1 months ago
SenseMaker: An Information-Exploration Interface Supporting the Contextual Evolution of a User's Interests
We describe the design, implementation, and pilot study for SenseMaker, an interface for information exploration across heterogeneous sources. We propose supporting the contextdri...
Michelle Q. Wang Baldonado, Terry Winograd
PRICAI
2010
Springer
14 years 8 months ago
Visual Query Expansion via Incremental Hypernetwork Models of Image and Text
Abstract. Humans can associate vision and language modalities and thus generate mental imagery, i.e. visual images, from linguistic input in an environment of unlimited inflowing i...
Min-Oh Heo, Myunggu Kang, Byoung-Tak Zhang
93
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AAAI
2010
14 years 6 months ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
88
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INFOCOM
2010
IEEE
14 years 8 months ago
Opportunistic Spectrum Access with Multiple Users: Learning under Competition
Abstract—The problem of cooperative allocation among multiple secondary users to maximize cognitive system throughput is considered. The channel availability statistics are initi...
Animashree Anandkumar, Nithin Michael, Ao Tang