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» Generalized Nonlinear Discriminant Analysis
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ICIP
2008
IEEE
15 years 11 months ago
Correlation Embedding Analysis
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
Yun Fu, Thomas S. Huang
ICPR
2006
IEEE
15 years 10 months ago
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
Weishi Zheng, Jian-Huang Lai
WWW
2009
ACM
15 years 11 months ago
Reliability analysis using weighted combinational models for web-based software
In the past, some researches suggested that engineers can use combined software reliability growth models (SRGMs) to obtain more accurate reliability prediction during testing. In...
Chao-Jung Hsu, Chin-Yu Huang
BIOADIT
2004
Springer
15 years 9 months ago
Distributed Central Pattern Generator Model for Robotics Application Based on Phase Sensitivity Analysis
Abstract. A method is presented to predict phase relationships between coupled phase oscillators. As an illustration of how the method can be applied, a distributed Central Pattern...
Jonas Buchli, Auke Jan Ijspeert
CVPR
2007
IEEE
16 years 6 months ago
Feature Extraction by Maximizing the Average Neighborhood Margin
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
Fei Wang, Changshui Zhang