Robust Maximum Margin Criterion Based on Complex Kernel

LU Guifu; ZOU Jian; WANG Yong

doi:10.3969/j.issn.1003-501x.2015.09.002

Journals >Opto-Electronic Engineering >Volume 42 >Issue 9 >Page 8 > Article

Opto-Electronic Engineering
Vol. 42, Issue 9, 8 (2015)

Robust Maximum Margin Criterion Based on Complex Kernel

LU Guifu^1,2,*, ZOU Jian¹, and WANG Yong¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1003-501x.2015.09.002 Cite this Article

LU Guifu, ZOU Jian, WANG Yong. Robust Maximum Margin Criterion Based on Complex Kernel[J]. Opto-Electronic Engineering, 2015, 42(9): 8 Copy Citation Text

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Abstract

The conventional Maximum Margin Criterion (MMC) is sensitive to noise. To address this problem, a Robust Maximum Margin Criterion (RMMC) based on complex kernel is proposed. The samples are first mapped to the Complex Reproducing Kernel Hibert Spaces (CRKHS), and then the MMC is conducted in CRKHS. Besides, an efficient algorithm for implementing MMC is also proposed in this paper. The experimental results shows that RMMC is robust to the noise images and its recognition rates are higher.

Keywords

dimensionality reduction maximum margin criterion (MMC)robust feature extraction small sample size problem