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
收藏
页码：2880 / 2883
页数：4
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