1334 search results - page 66 / 267 » Composite kernel learning |
149
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TNN
2010
14 years 10 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
163
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ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
158
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
The advances in image acquisition techniques make recording images never easier and brings a great convenience to our daily life. It raises at the same time the issue of privacy p...
148
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ICDAR
2009
IEEE
15 years 29 days ago
2009
IEEE
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
131
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ISNN
2004
Springer
15 years 8 months ago
2004
Springer
This paper presents an unsupervised fuzzy-kernel learning vector quantization algorithm called FKLVQ. FKLVQ is a batch type of clustering learning network by fusing the batch learn...