Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation

Robust Ensemble Manifold Projective Non-Negative Matrix Factorization for Image Representation

Projective non-negative matrix factorization (PNMF) as a variant of NMF has received considerable attention. However, the existing PNMF methods can be further improved from two aspects. On the one hand, the square loss function that is intended to measure the reconstruction error is sensitive to noi...

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Bibliographic Details
Main Authors: Peng Luo, Xilong Qu, Lina Tan, Xiaoliang Xie, Weijin Jiang, Lirong Huang, Wai Hung Ip, Kai Leung Yung
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Non-negative matrix factorization
projection recovery
image representation
ensemble manifold learning
Online Access:https://ieeexplore.ieee.org/document/9261478/

Internet

https://ieeexplore.ieee.org/document/9261478/

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