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A Statistical Model for General Contextual Object Recognition.

, , и . ECCV (1), том 3021 из Lecture Notes in Computer Science, стр. 350-362. Springer, (2004)

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Tanja Elisabeth Peters

George Gershwins und Jerome Kerns Musicalsongs: ihre Ähnlichkeit, Wahrnehmung und musikalische Struktur. Uni Köln, (2008)

Andre Peters

Description and determination of soil hydraulic properties on the laboratory scale. TU Braunschweig, (2008)

Jillian Petersen

Diversity and ecology of chemosynthetic symbioses in deep-sea invertebrates. Uni Bremen, (2009)

Robert Martin Peterreins

Musikhörfähigkeit von Patienten mit elektroakustischer Stimulation: Testung anhand des Mu.S.I.C.-Tests. TU München, (2009)

Ilse Peters

 

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An interior-point stochastic approximation method and an L1-regularized delta rule., , и . NIPS, стр. 233-240. Curran Associates, Inc., (2008)Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage., , и . J. Mach. Learn. Res., (2021)Non-negative matrix factorization algorithms greatly improve topic model fits., , , и . CoRR, (2021)Learning to Recognize Objects with Little Supervision, , , , и . Int. J. Comput. Vision, 77 (1-3): 219--237 (2008)Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition., , , и . AISTATS, Society for Artificial Intelligence and Statistics, (2003)Nonparametric Bayesian Logic, , , и . Proc.\ Twenty First Conf.\ on Uncertainty in Artificial Intelligence, Edinburgh, (июля 2005)Conditional mean field., и . NIPS, стр. 201-208. MIT Press, (2006)A Stochastic approximation method for inference in probabilistic graphical models., , и . NIPS, стр. 216-224. Curran Associates, Inc., (2009)A Constrained Semi-supervised Learning Approach to Data Association., , и . ECCV (3), том 3023 из Lecture Notes in Computer Science, стр. 1-12. Springer, (2004)A Statistical Model for General Contextual Object Recognition., , и . ECCV (1), том 3021 из Lecture Notes in Computer Science, стр. 350-362. Springer, (2004)