The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition-Reference-Cited by-同舟云学术

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The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition

Published:2007-08 Issue:4 Volume:37 Page:937-951
ISSN:1083-4419
Container-title:IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
language:
Short-container-title:IEEE Trans. Syst., Man, Cybern. B

Author:

Cevikalp H..,Neamtu M..,Barkana A..

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,General Medicine,Information Systems,Software,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx5/3477/4267850/04267852.pdf?arnumber=4267852

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Necessary Conditions for Successful Application of Intra- and Inter-class Common Vector Classifiers;Arabian Journal for Science and Engineering;2022-01-06

2. Combination of spatially enhanced bag-of-visual-words model and genuine difference subspace for fake coin detection;Expert Systems with Applications;2020-11

3. Kernel Methods;Neural Networks and Statistical Learning;2019

4. Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction;Journal of Mathematical Imaging and Vision;2017-10-24

5. Best Fitting Hyperplanes for Classification;IEEE Transactions on Pattern Analysis and Machine Intelligence;2017-06-01

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