Parallel Nonnegative Matrix Factorization with Manifold Regularization
نویسندگان
چکیده
منابع مشابه
Learning manifold to regularize nonnegative matrix factorization
In this chapter we discuss how to learn an optimal manifold presentation to regularize nonegative matrix factorization (NMF) for data representation problems. NMF, which tries to represent a nonnegative data matrix as a product of two low rank nonnegative matrices, has been a popular method for data representation due to its ability to explore the latent part-based structure of data. Recent stu...
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ژورنال
عنوان ژورنال: Journal of Electrical and Computer Engineering
سال: 2018
ISSN: 2090-0147,2090-0155
DOI: 10.1155/2018/6270816