Dual Two-Dimensional Fuzzy Class Preserving Projections for Facial Expression Recognition

被引：1

作者：

Zhi, Ruicong ^{[1
]}

Ruan, Qiuqi ^{[1
]}

Wu, Jiying ^{[1
]}

机构：

[1] Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2008年 / E91D卷 / 12期

基金：

中国国家自然科学基金;

关键词：

locality preserving projections; fuzzy k-nearest neighbor classifier; fuzzy class preserving projections; facial expression recognition;

D O I：

10.1093/ietisy/e91-d.12.2880

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a novel algorithm for image feature extraction-the dual two-dimensional fuzzy class preserving projection ((2D)(FCPP)-F-2). The main advantages of (2D)(FCPP)-F-2 over two-dimensional locality preserving projections (2DLPP) are: (1) utilizing the fuzzy assignation, mechanisms to construct the weight matrix. which can improve the classification results (2) incorporating. 2DLPP and alternative 2DLPP to get a more efficient dimensionality reduction method-(2D)(LPP)-L-2.

引用

页码：2880 / 2883

页数：4

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