Sparse deep nonnegative matrix factorization
نویسندگان
چکیده
منابع مشابه
Sparse Deep Nonnegative Matrix Factorization
Nonnegative matrix factorization is a powerful technique to realize dimension reduction and pattern recognition through single-layer data representation learning. Deep learning, however, with its carefully designed hierarchical structure, is able to combine hidden features to form more representative features for pattern recognition. In this paper, we proposed sparse deep nonnegative matrix fac...
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ژورنال
عنوان ژورنال: Big Data Mining and Analytics
سال: 2020
ISSN: 2096-0654
DOI: 10.26599/bdma.2019.9020020