976 search results - page 76 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
129
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ICDAR
2005
IEEE
15 years 11 months ago
2005
IEEE
In this paper, we propose a new approach for identifying the language type of character images. We do this by classifying individual character images to determine the language bou...
195
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TNN
2010
15 years 25 days ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
180
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MICCAI
2004
Springer
16 years 7 months ago
2004
Springer
The classification of normal and malginant colon tissue cells is crucial to the diagnosis of colon cancer in humans. Given the right set of feature vectors, Support Vector Machines...
142
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ICDM
2007
IEEE
16 years 14 days ago
2007
IEEE
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
188
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CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...