238 search results - page 27 / 48 » Learning for Optical Flow Using Stochastic Optimization |
124
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
124
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
We present the first temporal-difference learning algorithm for off-policy control with unrestricted linear function approximation whose per-time-step complexity is linear in the ...
128
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ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
139
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
117
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IROS
2006
IEEE
15 years 7 months ago
2006
IEEE
This work is about the relevance of Gibson’s concept of affordances [1] for visual perception in interactive and autonomous robotic systems. In extension to existing functional ...