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Self-Paced Learning for Latent Variable Models.

, , and . NIPS, page 1189-1197. Curran Associates, Inc., (2010)

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Shape-Based Object Localization for Descriptive Classification., , , and . NIPS, page 633-640. Curran Associates, Inc., (2008)A segmentation-aware object detection model with occlusion handling., , and . CVPR, page 1361-1368. IEEE Computer Society, (2011)Shape-Based Object Localization for Descriptive Classification., , , and . Int. J. Comput. Vis., 84 (1): 40-62 (2009)Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization., , and . AISTATS, Society for Artificial Intelligence and Statistics, (2005)Convex Point Estimation using Undirected Bayesian Transfer Hierarchies, , , and . CoRR, (2012)Latent variable models for visual activity understanding.. Stanford University, USA, (2015)Self-Paced Learning for Latent Variable Models., , and . NIPS, page 1189-1197. Curran Associates, Inc., (2010)Modeling Latent Variable Uncertainty for Loss-based Learning., , and . ICML, icml.cc / Omnipress, (2012)Max-Margin Min-Entropy Models., , , , and . AISTATS, volume 22 of JMLR Proceedings, page 779-787. JMLR.org, (2012)Self-taught learning: transfer learning from unlabeled data., , , , and . ICML, volume 227 of ACM International Conference Proceeding Series, page 759-766. ACM, (2007)