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» Learning with Rigorous Support Vector Machines
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TIP
2008
175views more  TIP 2008»
15 years 1 months ago
Customizing Kernel Functions for SVM-Based Hyperspectral Image Classification
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
Baofeng Guo, Steve R. Gunn, Robert I. Damper, Jame...
137
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PAMI
2010
192views more  PAMI 2010»
15 years 9 days ago
Multiway Spectral Clustering with Out-of-Sample Extensions through Weighted Kernel PCA
—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...
Carlos Alzate, Johan A. K. Suykens
131
Voted
DIS
2009
Springer
14 years 11 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
111
Voted
ICCV
2009
IEEE
14 years 11 months ago
Landmark classification in large-scale image collections
With the rise of photo-sharing websites such as Facebook and Flickr has come dramatic growth in the number of photographs online. Recent research in object recognition has used su...
Yunpeng Li, David J. Crandall, Daniel P. Huttenloc...
118
Voted
ICDAR
2009
IEEE
14 years 11 months ago
Comparative Study of Devnagari Handwritten Character Recognition Using Different Feature and Classifiers
In recent years research towards Indian handwritten character recognition is getting increasing attention. Many approaches have been proposed by the researchers towards handwritte...
Umapada Pal, Tetsushi Wakabayashi, Fumitaka Kimura