4544 search results - page 639 / 909 » Reinforcement Learning with Time |
174
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
218
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ICIP
2007
IEEE
16 years 8 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
311
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ICDE
2008
IEEE
16 years 8 months ago
2008
IEEE
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
178
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
The problem of choosing fast implementations for a class of recursive algorithms such as the fast Fourier transforms can be formulated as an optimization problem over the language...
174
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...