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WSCG
2001
141views more  WSCG 2001»
15 years 8 months ago
Exploiting Eigenvalues of the Hessian Matrix for Volume Decimation
In recent years the Hessian matrix and its eigenvalues became important in pattern recognition. Several algorithms based on the information they provide have been introduced. We r...
Jirí Hladuvka, Andreas König, Eduard G...
PR
2006
95views more  PR 2006»
15 years 6 months ago
Subspace independent component analysis using vector kurtosis
This discussion presents a new perspective of subspace independent component analysis (ICA). The notion of a function of cumulants (kurtosis) is generalized to vector kurtosis. Th...
Alok Sharma, Kuldip K. Paliwal
TKDE
2008
152views more  TKDE 2008»
15 years 6 months ago
SRDA: An Efficient Algorithm for Large-Scale Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
Deng Cai, Xiaofei He, Jiawei Han
PR
2000
92views more  PR 2000»
15 years 6 months ago
On the independence of rotation moment invariants
The problem of the independence and completeness of rotation moment invariants is addressed in this paper. First, a general method for constructing invariants of arbitrary orders ...
Jan Flusser
PR
2000
103views more  PR 2000»
15 years 6 months ago
Genetic algorithm-based clustering technique
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search f...
Ujjwal Maulik, Sanghamitra Bandyopadhyay