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作者: Nicolas Gillis
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摘要: 12.1 Summary Nonnegative matrix factorization (NMF) has become a widely used tool for the analysis of high-dimensional data as it automatically extracts sparse and meaningful …
Journal of Global Optimization,2016, 引用: 2
international conference on machine learning,2015, 引用: 6
arXiv: Machine Learning,2014, 引用: 0
arXiv: Combinatorics,2016, 引用: 6
2014 IEEE International Conference on Image Processing (ICIP),2014, 引用: 11
IEEE Journal of Selected Topics in Signal Processing,2015, 引用: 45
IEEE Signal Processing Letters,2016, 引用: 11
arXiv: Machine Learning,2013, 引用: 13
Linear Algebra and its Applications,2015, 引用: 107
PAMM,2015, 引用: 1