Участник:Kropotov/Публикации
Материал из MachineLearning.
(Новая: '''2010''' D. Kropotov, D. Vetrov, L. Wolf, T. Hassner. Variational Relevance Vector Machine for Tabular Data // JMLR Workshop & Conference Proceedings, Vol. 13, 2010, pp. 79-94. [http:...) |
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D. Kropotov, D. Vetrov, L. Wolf, T. Hassner. Bayesian Logistic Regression for Classification of Tabular Data // Proc. of 8th International Conference “Intelligent Information Processing”, 2010, pp. 103-106. [[Media:Kropotov10_IIP_gridrvm.pdf|(PDF, 217 Кб)]] | D. Kropotov, D. Vetrov, L. Wolf, T. Hassner. Bayesian Logistic Regression for Classification of Tabular Data // Proc. of 8th International Conference “Intelligent Information Processing”, 2010, pp. 103-106. [[Media:Kropotov10_IIP_gridrvm.pdf|(PDF, 217 Кб)]] | ||
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| + | D. Kropotov, D. Laptev, A. Osokin, D. Vetrov. Variational Segmentation Algorithms with Label Frequency Constraints // Pattern Recognition and Image Analysis, 2010, V. 20, No. 3, pp. 324-334. [http://www.springerlink.com/content/l1811hw773n25hm5/ (PDF, 613 Кб)] | ||
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| + | A. Osokin, D. Vetrov, D. Kropotov. 3D Reconstruction of Mouse Brain from a Sequence of 2D Brain Slices in Application to Allen Brain Atlas // Lecture Notes in Bioinformatics, Vol. 6160, Springer, 2010, pp. 291-303. [http://www.springerlink.com/content/978-3-642-14570-4 link] | ||
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75. D. Kropotov, D. Vetrov. General L2-Regularization in Bayesian and AIC Linear Regression // Proc. of the International Eugene Lawler Ph.D. School, 2009, pp.124-137. | 75. D. Kropotov, D. Vetrov. General L2-Regularization in Bayesian and AIC Linear Regression // Proc. of the International Eugene Lawler Ph.D. School, 2009, pp.124-137. | ||
76. Ветров Д.П., Кропотов Д.А., Осокин А.А. Автоматическое определение количества компонент в ЕМ-алгоритме восстановления смеси нормальных распределений // Ж. вычисл. матем. и матем. физ., 2010, т. 50, №4, с. 1-14. | 76. Ветров Д.П., Кропотов Д.А., Осокин А.А. Автоматическое определение количества компонент в ЕМ-алгоритме восстановления смеси нормальных распределений // Ж. вычисл. матем. и матем. физ., 2010, т. 50, №4, с. 1-14. | ||
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Версия 13:29, 24 декабря 2010
2010
D. Kropotov, D. Vetrov, L. Wolf, T. Hassner. Variational Relevance Vector Machine for Tabular Data // JMLR Workshop & Conference Proceedings, Vol. 13, 2010, pp. 79-94. (PDF, 584 Кб)
A. Osokin, D. Vetrov, A. Lebedev, V. Galatenko, D. Kropotov, K. Anokhin. An Interactive Method of Anatomical Segmentation and Gene Expression Estimation for an Experimental Mouse Brain Slice // Proc. CIBB 2010. (PDF, 598 Кб)
D. Kropotov, D. Laptev, A. Osokin, D. Vetrov. Signal Segmentation with Label Frequency Constraints using Dual Decomposition Approach for Hidden Markov Models // Proc. of 8th International Conference “Intelligent Information Processing”, 2010, pp. 403-406. (PDF, 151 Кб)
D. Kropotov, D. Vetrov, L. Wolf, T. Hassner. Bayesian Logistic Regression for Classification of Tabular Data // Proc. of 8th International Conference “Intelligent Information Processing”, 2010, pp. 103-106. (PDF, 217 Кб)
D. Kropotov, D. Laptev, A. Osokin, D. Vetrov. Variational Segmentation Algorithms with Label Frequency Constraints // Pattern Recognition and Image Analysis, 2010, V. 20, No. 3, pp. 324-334. (PDF, 613 Кб)
A. Osokin, D. Vetrov, D. Kropotov. 3D Reconstruction of Mouse Brain from a Sequence of 2D Brain Slices in Application to Allen Brain Atlas // Lecture Notes in Bioinformatics, Vol. 6160, Springer, 2010, pp. 291-303. link
