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Assessing the Number of Clusters in a Mixture Model with Side-information., and . ICPRAM, page 41-47. SciTePress, (2016)A Normalized Criterion of Spatial Clustering in Model-Based Framework., , and . ICMLA (1), page 542-547. IEEE, (2012)The one-sided mean kernel: a positive definite kernel for time series., , , , and . ESANN, (2014)A straightforward SVM approach for classification with constraints., , and . EUSIPCO, page 1-4. IEEE, (2005)Supervised learning rule selection for multiclass decision with performance constraints., , and . ICPR, page 1-4. IEEE Computer Society, (2008)A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function., , and . ICMLA, page 48-53. IEEE Computer Society, (2008)Theoretical properties and implementation of the one-sided mean kernel for time series., , , and . Neurocomputing, (2015)Criteria for Mixture-Model Clustering with Side-Information., and . ICPRAM (Revised Selected Papers), volume 10163 of Lecture Notes in Computer Science, page 43-59. (2016)Transfer Learning for Large Scale Data Using Subspace Alignment., , and . ICMLA, page 1006-1010. IEEE, (2017)Multilabel Classification Rule with Performance Constraints., , and . ICASSP (3), page 784-787. IEEE, (2006)