Kernel discriminant analysis for regression problems-Reference-Cited by-同舟云学术

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Kernel discriminant analysis for regression problems

Published:2012-05 Issue:5 Volume:45 Page:2019-2031
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Kwak Nojun

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. Pattern Classification;Duda,2001

2. Pattern Recognition: A Statistical Approach;Devijver,1982

3. Learning from Data: Concept, Theory, and Methods;Cherkassky,1998

4. Feature Extraction, Construction and Selection: A Data Mining Perspective,1998

5. Principal Component Analysis;Joliffe,1986

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1. SLiKER: Sparse loss induced kernel ensemble regression;Pattern Recognition;2021-01

2. Regularized kernel matrix decomposition for thermal video multi-object detection and tracking;Big Data and Information Analytics;2018

3. Maximum relevance minimum common redundancy feature selection for nonlinear data;Information Sciences;2017-10

4. Mixture of grouped regressors and its application to visual mapping;Pattern Recognition;2016-05

5. Multi-label dimensionality reduction and classification with extreme learning machines;Journal of Systems Engineering and Electronics;2014-06

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