A multi-view-group non-negative matrix factorization approach for automatic image annotation

2017 ◽  
Vol 77 (13) ◽  
pp. 17109-17129 ◽  
Author(s):  
Roya Rad ◽  
Mansour Jamzad
Keyword(s):  
Matrix Factorization ◽  
Image Annotation ◽  
Automatic Image Annotation ◽  
Factorization Approach ◽  
Non Negative Matrix Factorization

MSdB-NMF: MultiSpectral Document Image Binarization Framework via Non-Negative Matrix Factorization Approach

2020 ◽  
Vol 29 ◽  
pp. 9099-9112
Author(s):  
Yaser Esmaeili Salehani ◽  
Ehsan Arabnejad ◽  
Abderrahmane Rahiche ◽  
Athmane Bakhta ◽  
Mohamed Cheriet
Keyword(s):  
Matrix Factorization ◽  
Document Image ◽  
Image Binarization ◽  
Factorization Approach ◽  
Document Image Binarization ◽  
Non Negative Matrix Factorization

scholarly journals A Semisupervised Framework for Automatic Image Annotation Based on Graph Embedding and Multiview Nonnegative Matrix Factorization

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hongwei Ge ◽  
Zehang Yan ◽  
Jing Dou ◽  
Zhen Wang ◽  
ZhiQiang Wang
Keyword(s):  
Image Retrieval ◽  
Matrix Factorization ◽  
Nonnegative Matrix Factorization ◽  
Image Annotation ◽  
Nonnegative Matrix ◽  
Graph Embedding ◽  
Automatic Image Annotation ◽  
Competitive Performance ◽  
Semantic Constraints

Automatic image annotation is for more accurate image retrieval and classification by assigning labels to images. This paper proposes a semisupervised framework based on graph embedding and multiview nonnegative matrix factorization (GENMF) for automatic image annotation with multilabel images. First, we construct a graph embedding term in the multiview NMF based on the association diagrams between labels for semantic constraints. Then, the multiview features are fused and dimensions are reduced based on multiview NMF algorithm. Finally, image annotation is achieved by using the new features through a KNN-based approach. Experiments validate that the proposed algorithm has achieved competitive performance in terms of accuracy and efficiency.

Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach

2016 ◽  
Vol 204 ◽  
pp. 153-161 ◽  
Author(s):  
Bo Du ◽  
Shaodong Wang ◽  
Nan Wang ◽  
Lefei Zhang ◽  
Dacheng Tao ◽  
...  
Keyword(s):  
Matrix Factorization ◽  
Factorization Approach ◽  
Non Negative Matrix Factorization
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