搜索资源列表
ssvd-0.2.5.tar
- 是一个矩阵的奇异值分解算法的源码包,是在SVDPACKC的基础上进行的封装,典型应用是在LSI算法中用来降维生成一个小的语义空间。-is a matrix of the singular value decomposition algorithm source package is SVDPACKC conducted on the basis of the package, the typical application is in the LSI algorithm used to gene
KDA_QR
- 基于奇异值分解的核线性判别分析(Kernel Discriminant Analysis via QR Decomposition)。 -based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
KL2
- 人脸识别:利用奇异值分解和KL变换的投影,是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article
Preparation
- 潜在语义准备,包括文档变换,SVD(奇异值分解)等方法。-Latent Semantic prepared, including document conversion, SVD (singular value decomposition) and other methods.
empca2.tar
- 模式分类中应用到的PCA算法,包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
main_2
- 利用训练标准,利用PCA进行人脸识别,其中利用奇异值定理和能量选择来进行识别空间重构。-Use of training standards, the use of PCA for face recognition, including the use of singular value theorem and the energy of choice to identify space reconstruction.
fulltext
- Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval
Numerical_Computing_with_MATLAB_2004
- 非常经典的160个matlab源程序,并且包含说明书(英文版),内容涵盖线性方程组、插值、零和根、最小二乘、正交、常微分方程、傅立叶分析、随机数、特征值和奇异值和偏微分方程-Very classic 160 matlab source, and contains instructions (in English), covering linear equations, interpolation, zero and roots, least squares, quadrature, ordina
FSVD-H-ELM
- 基于极限学习机的一种快速奇异值分解的方法,较传统的极限学习机性能提升较明显-Based on extreme learning machine , a rapid method of singular value decomposition, the improvement is obvious