Načítá se...
Graph Regularized Nonnegative Matrix Factorization with Sparse Coding
In this paper, we propose a sparseness constraint NMF method, named graph regularized matrix factorization with sparse coding (GRNMF_SC). By combining manifold learning and sparse coding techniques together, GRNMF_SC can efficiently extract the basic vectors from the data space, which preserves the...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Hindawi Limited
2015-01-01
|
| Edice: | Mathematical Problems in Engineering |
| On-line přístup: | http://dx.doi.org/10.1155/2015/239589 |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo otaguje tento záznam!
|