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ear5.rar
- IEEE上关于人耳图像识别的论文:使用改进的非负矩阵分解的人耳识别,Ear Recognition using Improved Non-Negative Matrix Factorization
CONVEXBSS
- 著名教授关于非负矩阵分解的讲义,包括模型、求解、仿真、实际应用情况。特别是生物医学图像处理和卫星图像处理方面。-CONVEX ANALYSIS BASED NON-NEGATIVE BLIND SOURCE SEPARATION AND ITS APPLICATIONS
xianda-zhang
- 张贤达的盲信号处理讲义 包括盲源分离,斜投影。联合对角化。非负矩阵分解的介绍-blind source separation by Pro. Zhang xian da.
classic-nmf
- 非负矩阵分解的最经典算法,1999发表在自然科学杂志上的那一篇文章的代码-classic Nonnegative matrix factorization
Feature-fusion-based-on-NMF-and-NSCT
- 一种基于非负矩阵分解和红外特征的图像融 合方法,实现源图像的目标区域和背景区域分别融合。-A proposal method based on non-negative factorization (NMF) and infrared feature is presented for infrared and visual images fusion, which fuses the target region and background respectively .