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Sparse support vector machine for pattern recognition

  • Published:2015-05-18 Issue:7 Volume:28 Page:2261-2273
  • ISSN:1532-0626
  • Container-title:Concurrency and Computation: Practice and Experience
  • language:en
  • Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Chen Guangyi1,Bui Tien. D.1,Krzyżak Adam1

Affiliation:

1. Department of Computer Science and Software Engineering; Concordia University; 1455 de Maisonneuve West Montreal Quebec H3G 1M8 Canada

Funder

Natural Science and Engineering Research Council of Canada (NSERC)

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference32 articles.

1. The Nature of Statistical Learning Theory

2. A tutorial on support vector machines for pattern recognition;Burges;Data Mining and Knowledge Discovery,1998

3. Auto-correlation wavelet support vector machine;Chen;Image and Vision Computing,2009

4. Wavelet support vector machine;Zhang;IEEE Transactions on Systems, Man, and Cybernetics-Part B,2004

5. Fast SVM training algorithm with decomposition on very large datasets;Dong;IEEE Transactions on Pattern Analysis and Machine Intelligence,2005

Cited by 2 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. Fast sparse twin learning framework for large-scale pattern classification;Engineering Applications of Artificial Intelligence;2024-04

2. New advances in High Performance Computing and simulation: parallel and distributed systems, algorithms, and applications;Concurrency and Computation: Practice and Experience;2016-02-19
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