This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B-SNMF are ...

Hyperspectral unmixing (HSU) is an important technique of remote sensing, which estimates the fractional abundances and the mixing matrix of endmembers in each mixed pixel from the hyperspectral image ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using ...

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sparse matrix solver using successive over-relaxation (sor) for fast convergence. - GitHub - inhald/sparse_matrix_solver: sparse matrix solver using successive over-relaxation (sor) for fast conve ...