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» Generalized Nonlinear Discriminant Analysis
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ICIP
2008
IEEE
16 years 13 days 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
16 years 1 days 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
16 years 24 days 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 11 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 8 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