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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
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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).
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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
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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.
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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.
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Query quality refinement in singular value decomposition to improve genetic algorithms for multimedia data retrieval
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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
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