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face-recognition
- 稀疏表示人脸分类与识别，Mayi人脸分类识别框架，识别率非常高-sparse represention for face recognition
SRC_AR_showversion
- 基于稀疏表示的人脸识别算法，是核心算法的演示版本-Face recognition algorithm based on sparse representation is the demo version of the core algorithm
ESRC_classifier_v1.1
- 极限学习机\极速学习机\ELM 稀疏表示人脸识别\稀疏表示\L0范数求解 基于ELM与稀疏表示的混合人脸识别算法 AR人脸识别准确率95 . 文章:Luo, Minxia, and Kai Zhang. A hybrid approach combining extreme learning machine and sparse representation for image classification. Engineering Applications of Artific
main
- 基于稀疏表示方法的人脸识别代码-src face recognition
SRC
- 源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-Source code to achieve the use of sparse representation based on the face recognition algorithm. Using GPSR as a method for minimizing the L1 norm.
人脸识别
- 直接运行即可，当然对应目录选自己图片所在的文件夹(Run directly, of course, select the folder of your own picture folder.)
FDDL
- 基于Fisher字典学习的稀疏表示分类算法。(Sparse representation classification algorithm based on Fisher dictionary learning.)