Código QR (código de barras bidimensional)

Weighted Nonnegative Matrix Factorization for Image Inpainting and Clustering

Conventional nonnegative matrix factorization and its variants cannot separate the noise data space into a clean space and learn an effective low-dimensional subspace from Salt and Pepper noise or Contiguous Occlusion. This paper proposes a weighted nonnegative matrix factorization (WNMF) to improve...

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Principais autores: Xiangguang Dai, Nian Zhang, Keke Zhang, Jiang Xiong
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2020-06-01
Serier:International Journal of Computational Intelligence Systems
Fag:
Recovery
Dimensionality reduction
Weighted nonnegative matrix factorization
Noise
Online adgang:https://www.atlantis-press.com/article/125941271/view
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