基于类标一致和局部特征约束的字典学习算法

doi:10.3969/j.issn.1006-2475.2017.06.011

计算机与现代化

基于类标一致和局部特征约束的字典学习算法

(1.广东技术师范学院工业实训中心，广东广州 510665;
2. 哈尔滨工业大学深圳研究生院生物计算研究中心，广东深圳 518055)

收稿日期:2016-12-21 出版日期:2017-06-23 发布日期:2017-06-23
作者简介:李争名(1982-)，男，河南汝南人，广东技术师范学院工业实训中心高级实验师，哈尔滨工业大学深圳研究生院生物计算研究中心博士研究生，研究方向：字典学习; 杨南粤(1977-)，女，讲师，硕士，研究方向：图像处理。
基金资助:
国家自然科学基金资助项目(61370613); 广东省自然科学基金资助项目(2014A030313639); 广东省普通高校青年创新人才基金资助项目(2015KQNCX089); 深圳市科技计划项目(JCYJ20150330155220591)

Dictionary Learning Algorithm Based on Label Consistent and Locality Constraint

(1. Industrial Training Center, Guangdong Polytechnic Normal University, Guangzhou 510665, China;
2. Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, China)

Received:2016-12-21 Online:2017-06-23 Published:2017-06-23

摘要/Abstract

摘要： 为了提高字典学习算法的分类性能，提出基于原子的类标一致和局部特征约束的字典学习算法（LCLCDL）。利用原子和训练样本的类标设计判别稀疏矩阵，并构造类标一致模型作为判别式项，促使同类训练样本对应的编码系数尽可能地相似。利用原子和编码系数矩阵的行向量（Profiles）构造局部特征模型作为判别式项，使其继承训练样本的结构特征。实验结果表明LCLCDL算法比5个稀疏编码和字典学习算法可取得更高的分类性能。

关键词: 字典学习, 类标一致, 局部特征, 图像分类

Abstract: In order to improve the classification performance of the learned dictionary, a dictionary learning algorithm based on the label consistent and locality constraint of atoms (LCLCDL) was proposed. The discriminative sparse codes matrix was constructed by using the labels of the atoms and training samples, and then the label consistent model was designed as the discriminative term. It can encourage the training samples of the same class to have similar coding coefficients. The locality constraint model was constructed by using the atoms and the lines of coding coefficient matrix (Profiles), and it can inherit the geometric structure of the training samples. Experiment results show that the LCLCDL algorithm achieves more higher classification performance than five sparse coding and dictionary learning algorithms.

Key words: dictionary learning, label consistent, property of locality, image classification

中图分类号:

TP391.4

李争名1,2，杨南粤1. 基于类标一致和局部特征约束的字典学习算法[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2017.06.011.

LI Zheng-ming1,2, YANG Nan-yue1. Dictionary Learning Algorithm Based on Label Consistent and Locality Constraint[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.06.011.

参考文献

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基于类标一致和局部特征约束的字典学习算法

Dictionary Learning Algorithm Based on Label Consistent and Locality Constraint

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