1547 search results - page 87 / 310 » Learning a Classification Model for Segmentation |
143
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ALT
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
163
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BMCBI
2007
15 years 2 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
117
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IJCV
2008
15 years 2 months ago
2008
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of i...
113
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
115
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ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...