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ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
13 years 9 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
IDA
2009
Springer
14 years 2 months ago
Bayesian Non-negative Matrix Factorization
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen
CGF
2008
128views more  CGF 2008»
13 years 7 months ago
Hierarchical Convex Approximation of 3D Shapes for Fast Region Selection
Given a 3D solid model S represented by a tetrahedral mesh, we describe a novel algorithm to compute a hierarchy of convex polyhedra that tightly enclose S. The hierarchy can be b...
Marco Attene, Michela Mortara, Michela Spagnuolo, ...
JMM2
2008
124views more  JMM2 2008»
13 years 7 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang