Publikationen von S Nowozin

Saigo, H.; Altmann, A.; Bogojeska, J.; Müller, F.; Nowozin, S.; Lengauer, T.: Learning from past treatments and their outcome improves prediction of In Vivo response to anti-HIV therapy. Statistical Applications in Genetics and Molecular Biology 10 (1), 6, S. 1 - 32 (2011)

Saigo, H.; Nowozin, S.; Kadowaki, T.; Kudo, T.; Tsuda, K.: gBoost: A Mathematical Programming Approach to Graph Classification and Regression. Machine Learning 75 (1), S. 69 - 89 (2008)

Sra, S.; Nowozin, S.; Wright, S. (Hg.): Optimization for Machine Learning. MIT Press, Cambridge, MA, USA (2011), 494 S.

Sra, S.; Nowozin, S.; Wright, S.: Introduction: Optimization and Machine Learning. In: Optimization for Machine Learning, S. 1 - 17 (Hg. Sra, S.; Nowozin, S.; Wright, S.). MIT Press, Cambridge, MA, USA (2011)

Gehler, P.; Nowozin, S.: On Feature Combination for Multiclass Object Classification. In: 2009 IEEE 12th International Conference on Computer Vision, S. 221 - 228. Twelfth IEEE International Conference on Computer Vision, Kyoto, Japan, 29. September 2009 - 02. Oktober 2009. IEEE Computer Society, Piscataway, NJ, USA (2009)

Dhillon, P.; Nowozin, S.; Lampert, C.: Combining appearance and motion for human action classification in videos. In: 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, S. 22 - 29. 1st International Workshop on Visual Scene Understanding, Miami, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)

Gehler, P.; Nowozin, S.: Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, S. 2836 - 2843. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)

Nowozin, S.; Jegelka, S.: Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning. In: ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, S. 769 - 776 (Hg. Danyluk, A.; Bottou, L.; Littman, M.). 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, 14. Juni 2009 - 18. Juni 2009. ACM Press, New York, NY, USA (2009)

Nowozin, S.; Lampert, C.: Global Connectivity Potentials for Random Field Models. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, S. 818 - 825. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, USA, 20. Juni 2009 - 25. Juni 2009. IEEE Service Center, Piscataway, NJ, USA (2009)

Gehler, P.; Nowozin, S.: Infinite Kernel Learning. In: NIPS 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels (LK ASOK 2008), S. 1 - 4. NIPS 2008 Workshop: Kernel Learning: Automatic Selection of Optimal Kernels (LK ASOK 2008), Whistler, BC, Canada, 13. Dezember 2008. (2008)

Nowozin, S.; Tsuda, K.: Frequent Subgraph Retrieval in Geometric Graph Databases. In: 2008 Eighth IEEE International Conference on Data Mining, S. 953 - 958 (Hg. Giannotti, F.; Gunopulos, D.; Turini, F.; Zaniolo, C.; Ramakrishnan, N. et al.). Eighth IEEE International Conference on Data Mining (ICDM 2008), Pisa, Italy, 15. Dezember 2008 - 19. Dezember 2008. IEEE, Piscataway, NJ, USA (2008)

Nowozin, S.; Bakir, G.: A Decoupled Approach to Exemplar-based Unsupervised Learning. In: ICML '08: Proceedings of the 25th international conference on Machine, S. 704 - 711 (Hg. Cohen, W.; McCallum, A.; Roweis, S.). 25th International Conference on Machine Learning (ICML 2008), Helsinki, Finland, 05. Juli 2008 - 09. Juli 2008. ACM Press, New York, NY, USA (2008)

Nowozin, S.; BakIr, G.; Tsuda, K.: Discriminative Subsequence Mining for Action Classification. In: 2007 IEEE 11th International Conference on Computer Vision, S. 1919 - 1923. 11th IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, 14. Oktober 2007 - 21. Oktober 2007. IEEE Service Center, Piscataway, NJ, USA (2007)

Nowozin, S.; Tsuda, K.; Uno , T.; Kudo, T.; BakIr, G.: Weighted Substructure Mining for Image Analysis. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, S. 1 - 8. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis, MN., USA, 17. Juni 2007 - 22. Juni 2007. IEEE Computer Society, Los Alamitos, CA, USA (2007)

Sra, S.; Nowozin, S.; Vishwanathan, S.: Optimization for Machine Learning. NIPS 2008 Workshop: Optimization for Machine Learning, Whistler, BC, Canada (2008)

Tsuda, K.; Saigo, H.; Nowozin, S.; Kudo , T.; Uno, T.: Mathematical Programming Methods for Learning from Structured Data: Applications to Molecular QSAR Analysis, HIV Drug Resistance Prediction, and Image Categorisation. Joint Bioinformatics Education Program: Kyoto University and University of Tokyo, Kyoto, Japan (2007)

Nowozin, S.: Object Classification using Local Image Features. Diplom, 100 S., Technical University of Berlin, Berlin, Germany (2006)

Nowozin, S.; Tsuda, K.: Frequent Subgraph Retrieval in Geometric Graph Databases (Technical Report of the Max Planck Institute for Biological Cybernetics, 180). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 13 S.

Gehler, P.; Nowozin, S.: Infinite Kernel Learning (Technical Report of the Max Planck Institute for Biological Cybernetics, 178). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 12 S.

Dhillon, P.; Nowozin, S.; Lampert, C.: Combining Appearance and Motion for Human Action Classification in Videos (Technical Report of the Max Planck Institute for Biological Cybernetics, 174). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008), 10 S.