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Sparse kernel feature extraction via support vector learning

  • Published:2018-01 Issue: Volume:101 Page:67-73
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Wang Kunzhe,Xiao Huaitie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Blake, C., Merz, C.J., 1998. UCI repository of machine learning databases.

2. Convex Optimization;Boyd,2004

3. Support-vector networks;Cortes;Machine Learn.,1995

4. The minimum volume covering ellipsoid estimation in kernel-defined feature spaces;Dolia,2006

5. Regaining sparsity in kernel principal components;García-Osorio;Neurocomputing,2005

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