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Robust PCA based method for discovering differentially expressed genes.

, , , , , and . BMC Bioinformatics, 14 (S-8): S3 (2013)

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A comparative study and improvement of two ICA using reference signal methods., and . Neurocomputing, (2014)A Comparative Study of Two Independent Component Analysis Using Reference Signal Methods., and . ICIC (3), volume 304 of Communications in Computer and Information Science, page 93-99. Springer, (2012)Using the idea of the sparse representation to perform coarse-to-fine face recognition., , , , , and . Inf. Sci., (2013)Matrix regression-based classification with block-norm., , and . Pattern Recognition Letters, (2019)Random Feature Discriminant for Linear Representation Based Robust Face Recognition., , , , and . CCBR, volume 10568 of Lecture Notes in Computer Science, page 40-47. Springer, (2017)A New Subspace Approach for Face Recognition.. ICIC (3), volume 6840 of Lecture Notes in Computer Science, page 551-557. Springer, (2011)Matrix Regression-Based Classification for Face Recognition., , and . S+SSPR, volume 11004 of Lecture Notes in Computer Science, page 357-366. Springer, (2018)Principal Component Analysis based on Nuclear norm Minimization., , , , , and . Neural Networks, (2019)Bilateral structure based matrix regression classification for face recognition., , , and . Neurocomputing, (2019)A Human Visual Experience-Inspired Similarity Metric for Face Recognition Under Occlusion., , , , and . Cognitive Computation, 8 (5): 818-827 (2016)