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MatrixFctorization
- Matrix factorization for recommender systems - used in Netflix prize-Matrix factorization for recommender systems- used in Netflix prize...
TherealizationofParallelLUfactorizationbasedonFPGA
- 本文首先介绍了稀疏矩阵的特点和研究稀疏矩阵分解的意义，接着讨论了稀疏矩阵各种快速算法并给出了本文所采用的方法。在此基础上详细说明了稀疏矩阵模拟排序算法，直接LU分解算法，符号LU分解算法，数值LU分解算法及这些算法在FPGA上的实现过程。最后为充分发挥FPGA作为一种可编程逻辑器件的优势，将单核数值LU分解扩展为多核并行LU分解结构，并使用BDB矩阵对该结构进行了验证，给出并分析了实验结果。-Firstly,the characteristies and research value of sp
main2
- 一个大电力系统潮流计算代码，采用PQ分解法，用因子表解法解修正方程-A large power system power flow calculation code, using PQ decomposition, factorization method with the modified equation solution
tridiagLU.m
- LU factorization of tridiagonal matrix
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
Multi-Frame-Factorization-Techniques
- 此文章解释了matlab环境下一种程序，也提供了一种3d重构算法。-This article explains a procedure matlab environment, but also provides a 3d reconstruction algorithm.
Code_multiNMF
- This a module of Multi-View Non-negative Matrix Factorization(MultiNMF) -This is a module of Multi-View Non-negative Matrix Factorization(MultiNMF)
Image-fusion-based-on-NMF
- 基于NMF的多聚焦图像融合 适合于学习图像融合的人员-Multi-focus image fusion based on non negative matrix factorization
FSEG_v2
- Factorization-based texture segmentation