1091 search results - page 103 / 219 » Learning Models for Predicting Recognition Performance |
137
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UAI
2008
15 years 4 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
132
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NIPS
1993
15 years 4 months ago
1993
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
151
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SLSFS
2005
Springer
15 years 8 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
123
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CIARP
2007
Springer
15 years 9 months ago
2007
Springer
The main difficulty in the binary object classification field lays in dealing with a high variability of symbol appearance. Rotation, partial occlusions, elastic deformations, or...
143
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AGI
2011
14 years 6 months ago
2011
Abstract. Humans have the remarkable ability to generalize from binocular to monocular figure-ground segmentation of complex scenes. This is clearly evident anytime we look at a p...