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Methods and systems for computing singluar valve decompositions of matrices and low rank approximations of matrices
Methods and systems for computing singluar valve decompositions of matrices and low rank approximations of matrices
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机译:计算矩阵奇异值分解和矩阵的低秩逼近的方法和系统
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摘要
Methods and systems for finding a low rank approximation for an m×n matrix A are described. The described embodiments can independently sample and/or quantize the entries of an input matrix A, and can thus speed up computation by reducing the number of non-zero entries and/or their representation length. The embodiments can be used in connection with Singular Value Decomposition techniques to greatly benefit the processing of high-dimensional data sets in terms of storage, transmission and computation.
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