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» A generalization of Haussler's convolution kernel: mapping k...
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ICCV
2009
IEEE
13 years 2 months ago
Kernel map compression using generalized radial basis functions
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
Omar Arif, Patricio A. Vela
PAMI
2012
11 years 7 months ago
Trainable Convolution Filters and Their Application to Face Recognition
—In this paper, we present a novel image classification system that is built around a core of trainable filter ensembles that we call Volterra kernel classifiers. Our system trea...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Ha...
NAACL
2010
13 years 2 months ago
Convolution Kernels for Opinion Holder Extraction
Opinion holder extraction is one of the important subtasks in sentiment analysis. The effective detection of an opinion holder depends on the consideration of various cues on vari...
Michael Wiegand, Dietrich Klakow