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Nonnegative independent component analysis based on minimizing mutual information technique.

, , , , and . Neurocomputing, 69 (7-9): 878-883 (2006)

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Bark Classification Based on Textural Features Using Artificial Neural Networks., , , and . ISNN (2), volume 3972 of Lecture Notes in Computer Science, page 355-360. Springer, (2006)Nonlinear Blind Source Separation Using Hybrid Neural Networks., , , and . ISNN (1), volume 3971 of Lecture Notes in Computer Science, page 1165-1170. Springer, (2006)Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition., , , , , and . BMC Syst. Biol., 11 (6): 63-73 (2017)Differentially expressed genes selection via Laplacian regularized low-rank representation method., , , , and . Comput. Biol. Chem., (2016)Tumor Clustering Using Independent Component Analysis and Adaptive Affinity Propagation., , , , and . ICIC (3), volume 8590 of Lecture Notes in Computer Science, page 34-40. Springer, (2014)Eigenface-Based Sparse Representation for Face Recognition., , , and . ICIC (2), volume 7996 of Lecture Notes in Computer Science, page 457-465. Springer, (2013)Tumor Classification Using Non-negative Matrix Factorization., , , and . ICIC (3), volume 15 of Communications in Computer and Information Science, page 236-243. Springer, (2008)NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations., , , , and . BMC Bioinform., 20 (1): 353:1-353:10 (2019)A feature-based approach to predict hot spots in protein-DNA binding interfaces., , , and . Briefings Bioinform., 21 (3): 1038-1046 (2020)Improved sparse representation with low-rank representation for robust face recognition., , and . Neurocomputing, (2016)