搜索资源列表
nmfpack
- NMFs算法(带稀疏度约束的非负稀疏矩阵分解)用于实现基于人脸局部特征的人脸识别,通过近似的矩阵分解进行空间降维。
LNMF
- 人工智能模式识别中基于非负矩阵分解生成特征空间的算法-artificial intelligence pattern recognition based on non-negative matrix factorization generation features of the algorithm space
NMF
- 非负矩阵分解的人脸识别NMF 可正常运行 算法源码-Non-negative matrix factorization NMF for face recognition algorithms can be the normal operation of source
nmf(train)
- 用于入侵检测系统开发的非负矩阵分解算法,用于对KDD99数据进行样本训练。-Intrusion detection system for the development of non-negative matrix factorization algorithm, the data sample used for KDD99 training.
brain_demo
- NMF非负分解进行脑信号的处理的程序,包括导入brain image,NMF信号分解,结果导出。-NMF2, by itself, creates a new brainNMF or raises the existing singleton
NMF
- 非负矩阵Non-negative分解的人脸识别NMF 可正常运行.-Non-negative matrix factorization NMF for face recognition algorithms can be the normal