مقاله روش تطبیقی برای ضریب ماتریس غیر منفی غیر صاف

عنوان مقاله فارسی: روش تطبیقی برای ضریب ماتریس غیر منفی غیر صاف عنوان مقاله لاتین: Adaptive Method for Nonsmooth Nonnegative Matrix Factorization نویسندگان: Zuyuan Yang; Yong Xiang; Kan Xie; Yue Lai تعداد صفحات: 12 سال انتشار: 2017 زبان: لاتین Abstract: Nonnegative matrix factorization (NMF) is an emerging tool for meaningful low-rank matrix representation. In NMF, explicit constraints are usually required, such that NMF generates desired products (or factorizations), especially when the products have significant sparseness features. It is known that the ability of NMF in learning sparse representation can be improved by embedding a smoothness factor between the products. Motivated by this result, we propose an adaptive nonsmooth NMF (Ans-NMF) method in this paper. In our method,