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» Kernel Methods for Pattern Analysis
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ICPR
2008
IEEE
14 years 11 months ago
Generalized Nonlinear Discriminant Analysis
A Generalized Nonlinear Discriminant Analysis (GNDA) method is proposed, which implements Fisher discriminant analysis in a nonlinear mapping space. Linear discriminant analysis i...
Hua Zhang, Li Zhang, Licheng Jiao, Weida Zhou
AMC
2010
143views more  AMC 2010»
13 years 10 months ago
Fixed-point iterations in determining a Tikhonov regularization parameter in Kirsch's factorization method
Kirsch's factorization method is a fast inversion technique for visualizing the profile of a scatterer from measurements of the far-field pattern. The mathematical basis of t...
Koung Hee Leem, George Pelekanos, Fermín S....
NIPS
2007
13 years 12 months ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge
DSP
2007
13 years 10 months ago
Feasibility of impact-acoustic emissions for detection of damaged wheat kernels
A non-destructive, real time device was developed to detect insect damage, sprout damage, and scab damage in kernels of wheat. Kernels are impacted onto a steel plate and the resu...
Tom C. Pearson, A. Enis Çetin, Ahmed H. Tew...
BMCBI
2007
154views more  BMCBI 2007»
13 years 10 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato