976 search results - page 72 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
123
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ICPR
2008
IEEE
16 years 17 days ago
2008
IEEE
Support Vector Machines (SVMs), though accurate, are still difficult to solve large-scale applications, due to the computational and storage requirement. To relieve this problem,...
135
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...
188
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ISBI
2008
IEEE
16 years 16 days ago
2008
IEEE
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
169
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EACL
2006
ACL Anthology
15 years 7 months ago
2006
ACL Anthology
In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (...
176
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ICIC
2005
Springer
15 years 11 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...