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Feature Discretization with Relevance and Mutual Information Criteria., and . ICPRAM (Selected Papers), volume 318 of Advances in Intelligent Systems and Computing, page 101-118. Springer, (2013)A Dynamic Wrapper Method for Feature Discretization and Selection., and . ICPRAM (1), page 103-112. SciTePress, (2012)Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm., , , and . CoRR, (2018)On the use of independent component analysis for image compression., and . Signal Process. Image Commun., 21 (5): 378-389 (2006)Incremental filter and wrapper approaches for feature discretization., and . Neurocomputing, (2014)Feature selection for clustering categorical data with an embedded modelling approach., , and . Expert Syst. J. Knowl. Eng., 32 (3): 444-453 (2015)Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach., , and . ICASSP (2), page 861-864. IEEE, (2006)Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models., , , , and . SSPR/SPR, volume 6218 of Lecture Notes in Computer Science, page 463-472. Springer, (2010)Probabilistic consensus clustering using evidence accumulation., , , , , and . Mach. Learn., 98 (1-2): 331-357 (2015)Independent increment processes for human motion recognition., , and . Comput. Vis. Image Underst., 109 (2): 126-138 (2008)