Efficient and robust feature extraction by maximum margin criterion

被引：50

作者：

Liu, Jun ^{[1
]}

Cheri, Songcan ^{[1
]}

Tan, Xiaoyang ^{[1
]}

Zhang, Daoqiang ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 2007年 / 18卷 / 06期

关键词：

D O I：

10.1109/TNN.2007.900813

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The goal of this comment is to first point out two loopholes in the paper by Li et aL (2006): 1) so-designed efficient maximal margin criterion (MMC) algorithm for small sample size (SSS) problem is problematic and 2) the discussion on the equivalence with the null-space-based methods in SSS problem does not hold. Then, we will present a really efficient MMC algorithm for SSS problem.

引用

页码：1862 / 1864

页数：3