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The 2005 PASCAL Visual Object Classes Challenge

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Neural Networks.M. Jordan, и C. Bishop. Computing Handbook, 3rd ed. (1), CRC Press, (2014)Pattern Recognition and Machine LearningC. Bishop. Springer-Verlag, New York, (2008)Curvature-driven smoothing: a learning algorithm for feedforward networks.C. Bishop. IEEE Trans. Neural Networks, 4 (5): 882-884 (1993)Embracing Uncertainty: Applied Machine Learning Comes of Age.C. Bishop. ECML/PKDD (1), том 6911 из Lecture Notes in Computer Science, стр. 4. Springer, (2011)Bayesian Inference of Noise Levels in Regression.C. Bishop, и C. Quazaz. ICANN, том 1112 из Lecture Notes in Computer Science, стр. 59-64. Springer, (1996)Object Recognition via Local Patch Labelling.C. Bishop, и I. Ulusoy. Deterministic and Statistical Methods in Machine Learning, том 3635 из Lecture Notes in Computer Science, стр. 1-21. Springer, (2004)Mixtures of Probabilistic Principal Component Analysers.M. Tipping, и C. Bishop. Neural Comput., 11 (2): 443-482 (1999)Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data.D. Cornford, I. Nabney, и C. Bishop. Neural Comput. Appl., 8 (3): 206-217 (1999)Neural networks for pattern recognitionC. Bishop. Oxford University Press, (1996)Pattern Recognition and Machine Learning.C. Bishop, и N. Nasrabadi. J. Electronic Imaging, 16 (4): 049901 (2007)