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128
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MCS
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
127
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IJCV
2008
15 years 3 months ago
2008
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
110
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ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
130
Voted
WEBI
2009
Springer
15 years 10 months ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
149
Voted
ICIP
2009
IEEE
15 years 1 months ago
2009
IEEE
To have a robust and informative image content representation for image categorization, we often need to extract as many as possible visual features at various locations, scales a...