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ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L1 SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION
Hyperspectral Imagery Nonnegative Matrix Factorization Multilayer Nonnegative Matrix Factorization Sparsity Constraint Endmember Extraction
2018/5/11
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endm...
Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization
nonnegative matrix factorization algorithms multiplicative updates hierarchical alternating least squares
2011/9/21
Abstract: Nonnegative matrix factorization (NMF) is a data analysis technique used in a great variety of applications such as text mining, image processing, hyperspectral data analysis, computational ...
A Multilevel Approach For Nonnegative Matrix Factorization
nonnegative matrix factorization algorithms multigrid and multilevel methods
2010/11/30
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative ma-trix with the product of two low-rank nonnegative matrices and has been shown to be particularly
useful in many...