Results 41 to 50 of about 32,711 (308)
Single channel speech music separation using nonnegative matrix factorization and spectral masks [PDF]
, 2011 A single channel speech-music separation algorithm based on nonnegative matrix factorization (NMF) with spectral masks is proposed in this work. The proposed algorithm uses training data of speech and music signals with nonnegative matrix factorization ...
Erdogan, Hakan +2 more
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Complexity, 2018 We present a novel method, called graph sparse nonnegative matrix factorization, for dimensionality reduction. The affinity graph and sparse constraint are further taken into consideration in nonnegative matrix factorization and it is shown that the ...
Xiangguang Dai +2 more
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Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization [PDF]
, 2013 Graph regularized nonnegative matrix factorization (GNMF) decomposes a nonnegative data matrix X is an element of R-mxn to the product of two lower-rank nonnegative factor matrices, i.e., W is an element of R-mxr and H is an element of R-rxn ...
Guan, N, Luo, Z, Tao, D, Wei, L
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Tight Semi-nonnegative Matrix Factorization [PDF]
Pattern Recognition and Image Analysis, 2020 The nonnegative matrix factorization is a widely used, flexible matrix decomposition, finding applications in biology, image and signal processing and information retrieval, among other areas. Here we present a related matrix factorization. A multi-objective optimization problem finds conical combinations of templates that approximate a given data ...
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Complexity, 2018 Single-microphone speech enhancement algorithms by using nonnegative matrix factorization can only utilize the temporal and spectral diversity of the received signal, making the performance of the noise suppression degrade rapidly in a complex ...
Dong-xia Wang +4 more
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Computing approximate PSD factorizations [PDF]
, 2016 We give an algorithm for computing approximate PSD factorizations of nonnegative matrices. The running time of the algorithm is polynomial in the dimensions of the input matrix, but exponential in the PSD rank and the approximation error.
Basu, Amitabh, Dinitz, Michael, Li, Xin
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Collaborative filtering based on nonnegative/binary matrix factorization
Frontiers in Big DataCollaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items.
Yukino Terui +5 more
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Online Nonnegative Matrix Factorization With Outliers [PDF]
IEEE Transactions on Signal Processing, 2016 We propose a unified and systematic framework for performing online nonnegative matrix factorization in the presence of outliers. Our framework is particularly suited to large-scale data. We propose two solvers based on projected gradient descent and the alternating direction method of multipliers.
Zhao, Renbo, Tan, Vincent Y. F.
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Approximate cone factorizations and lifts of polytopes [PDF]
, 2013 In this paper we show how to construct inner and outer convex approximations of a polytope from an approximate cone factorization of its slack matrix.
Gouveia, João +2 more
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Big Data Mining and AnalyticsNonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiveness.
Guosheng Cui +3 more
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