4660 search results - page 246 / 932 » Learning from imperfect data |
137
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ICPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
179
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JMLR
2010
14 years 12 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
105
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ICPR
2006
IEEE
16 years 6 months ago
2006
IEEE
We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly deg...
120
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JMLR
2010
14 years 12 months ago
2010
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
173
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CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...