619 search results - page 50 / 124 » A Kernel Method for the Two-Sample Problem |
142
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JCP
2008
15 years 2 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
143
Voted
PAMI
2010
15 years 1 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
88
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ECCV
2010
Springer
15 years 8 months ago
2010
Springer
Histograms are used in almost every aspect of computer vi-4 4 sion, from visual descriptors to image representations. Histogram Inter-5 5 section Kernel (HIK) and SVM classifiers ...
117
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SIGKDD
2000
15 years 2 months ago
2000
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
143
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PAMI
2010
15 years 1 months ago
2010
—Representative surface reconstruction algorithms taking a gradient field as input enforces the integrability constraint in a discrete manner. While enforcing integrability allo...