213 search results - page 13 / 43 » Learning of Variability for Invariant Statistical Pattern Re... |
121
Voted
ICCV
2011
IEEE
14 years 1 months ago
2011
IEEE
Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
126
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CVPR
1997
IEEE
15 years 6 months ago
1997
IEEE
This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
114
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NIPS
1997
15 years 3 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
112
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STOC
1993
ACM
15 years 6 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...