495 search results - page 55 / 99 » Sparse representation algorithms based on mean-field approxi... |
82
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JMLR
2002
14 years 9 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
91
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EVOW
2009
Springer
15 years 5 months ago
2009
Springer
Image filtering involves taking a digital image and producing a new image from it. In software packages such as Adobe’s Photoshop, image filters are used to produce artistic ve...
ECCV
2004
Springer
15 years 3 months ago
2004
Springer
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...
SIGGRAPH
1996
ACM
15 years 2 months ago
1996
ACM
We present a new representation for time-varying image data that allows for varying--and arbitrarily high--spatial and temporal resolutions in different parts of a video sequence....
110
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ATAL
2005
Springer
15 years 3 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...