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» Training Data Selection for Support Vector Machines
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ICPR
2010
IEEE
13 years 7 months ago
Learning the Kernel Combination for Object Categorization
Although Support Vector Machines(SVM) succeed in classifying several image databases using image descriptors proposed in the literature, no single descriptor can be optimal for ge...
Deyuan Zhang, Xiaolong Wang, Bingquan Liu
ICMCS
2009
IEEE
186views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Audio chord labeling by musiological modeling and beat-synchronization
Automatic labeling of chords in original audio recordings is challenging due to heavy acoustic overlay by melody and percussion sections, detuning and arpeggios that demand for a ...
Björn Schuller, Benedikt Hörnler, Dejan ...
ICASSP
2011
IEEE
13 years 26 days ago
Fast discriminative speaker verification in the i-vector space
This work presents a new approach to discriminative speaker verification. Rather than estimating speaker models, or a model that discriminates between a speaker class and the cla...
Sandro Cumani, Niko Brümmer, Lukas Burget, Pi...
IEEEHPCS
2010
13 years 7 months ago
An efficient method for face recognition under illumination variations
An efficient method for face recognition which is robust under illumination variations is proposed. The proposed method achieves the illumination invariants based on the reflectan...
A. Nabatchian, E. Abdel-Raheem, M. Ahmadi
ICCV
2009
IEEE
13 years 6 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