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CSDA
2007
128views more  CSDA 2007»
13 years 8 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
IJPRAI
2006
100views more  IJPRAI 2006»
13 years 8 months ago
Nearest Neighbor Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
Xipeng Qiu, Lide Wu
CVPR
2007
IEEE
14 years 3 months ago
Visual Event Recognition in News Video using Kernel Methods with Multi-Level Temporal Alignment
In this work, we systematically study the problem of visual event recognition in unconstrained news video sequences. We adopt the discriminative kernel-based method for which vide...
Dong Xu, Shih-Fu Chang
JCC
2007
90views more  JCC 2007»
13 years 8 months ago
Aromaticity in linear polyacenes: Generalized population analysis and molecular quantum similarity approach
Abstract: The relative aromaticity of benzenoid rings in the linear polyacenes is investigated using two novel aromaticity approaches. According to the first, the aromaticity of i...
Patrick Bultinck, Robert Ponec, Ramon Carbó...
TNN
2008
133views more  TNN 2008»
13 years 8 months ago
A General Wrapper Approach to Selection of Class-Dependent Features
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...
Lipo Wang, Nina Zhou, Feng Chu