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Discriminative Object Class Models of Appearance and Shape by Correlatons.

, , and . CVPR (2), page 2033-2040. IEEE Computer Society, (2006)

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Gaussian Attention Model and Its Application to Knowledge Base Embedding and Question Answering., , and . CoRR, (2016)Accounting for Non-genetic Factors Improves the Power of eQTL Studies., , , and . RECOMB, volume 4955 of Lecture Notes in Computer Science, page 411-422. Springer, (2008)Learning Direct Optimization for scene understanding., , and . Pattern Recognit., (2020)Weakly Supervised Learning of Foreground-Background Segmentation Using Masked RBMs., , and . ICANN (2), volume 6792 of Lecture Notes in Computer Science, page 9-16. Springer, (2011)Causality with Gates.. AISTATS, volume 22 of JMLR Proceedings, page 1314-1322. JMLR.org, (2012)Generative Affine Localisation and Tracking., and . NIPS, page 1505-1512. (2004)Object Categorization by Learned Universal Visual Dictionary., , and . ICCV, page 1800-1807. IEEE Computer Society, (2005)The Shape Boltzmann Machine: A strong model of object shape., , and . CVPR, page 406-413. IEEE Computer Society, (2012)Structured Variational Distributions in VIBES., and . AISTATS, Society for Artificial Intelligence and Statistics, (2003)A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies., , , and . PLoS Comput. Biol., (2010)