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A deep learning framework for Hybrid Heterogeneous Transfer Learning., , and . Artif. Intell., (2019)Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets., , and . ICML, page 1047-1054. Omnipress, (2010)Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 36 (6): 1134-1148 (2014)Maximum Margin Clustering Made Practical., , and . IEEE Trans. Neural Networks, 20 (4): 583-596 (2009)Simpler core vector machines with enclosing balls., , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 911-918. ACM, (2007)Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals., , and . IEEE Trans. Signal Process., 63 (3): 742-753 (2015)Soft Margin Multiple Kernel Learning., , and . IEEE Trans. Neural Networks Learn. Syst., 24 (5): 749-761 (2013)Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection., , and . IEEE Trans. Neural Networks Learn. Syst., 24 (10): 1609-1622 (2013)'Who Likes What and, Why?' Insights into Modeling Users' Personality Based on Image 'Likes'., , , , and . IEEE Trans. Affect. Comput., 9 (1): 130-143 (2018)Maximum Penalized Likelihood Kernel Regression for Fast Adaptation., , , and . IEEE Trans. Speech Audio Process., 17 (7): 1372-1381 (2009)