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Sebastian Nowozin

Raum Nummer: 203

 

Bild von Nowozin, Sebastian

Sebastian Nowozin

Position: Doktorand  Abteilung: 

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Bücher (1):

Sra S, Nowozin S und Wright SJ: Optimization for Machine Learning, 494, MIT Press, Cambridge, MA, USA, (Dezember-2011). ISBN: 978-0-262-01646-9, Series: Neural information processing series

Artikel (2):

Saigo H, Altmann A, Bogojeska J, Müller F, Nowozin S und Lengauer T (Januar-2011) 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) 1-33.
Saigo H, Nowozin S, Kadowaki T, Kudo T und Tsuda K (November-2008) gBoost: A Mathematical Programming Approach to Graph Classification and Regression Machine Learning 75(1) 69-89.

Beiträge zu Tagungsbänden (10):

Gehler PV und Nowozin S (Oktober-2009) On Feature Combination for Multiclass Object Classification, Twelfth IEEE International Conference on Computer Vision (ICCV 2009), IEEE Computer Society, Piscataway, NJ, USA, 221-228.
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Dhillon PS, Nowozin S und Lampert C (Juni-2009) Combining appearance and motion for human action classification in videos, 1st International Workshop on Visual Scene Understanding (ViSU 2009), IEEE Service Center, Piscataway, NJ, USA, 22-29.
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Nowozin S und Lampert CH (Juni-2009) Global Connectivity Potentials for Random Field Models, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 818-825.
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Gehler PV und Nowozin S (Juni-2009) Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 2836-2843.
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Nowozin S und Jegelka S (Juni-2009) Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning, 26th International Conference on Machine Learning (ICML 2009), ACM Press, New York, NY, USA, 769-776.
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Nowozin S und Tsuda K (Dezember-2008) Frequent Subgraph Retrieval in Geometric Graph Databases, 8th IEEE International Conference on Data Mining (ICDM 2008), IEEE Computer Society, Los Alamitos, CA, USA, 953-958.
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Gehler PV und Nowozin S (Dezember-2008) Infinite Kernel Learning, NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels" (LK ASOK´08), 1-4.
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Nowozin S und BakIr G (Juli-2008) A Decoupled Approach to Exemplar-based Unsupervised Learning, 25th International Conference on Machine Learning (ICML 2008), ACM Press, New York, NY, USA, 704-711.
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Nowozin S, BakIr G und Tsuda K (Oktober-2007) Discriminative Subsequence Mining for Action Classification, 11th IEEE International Conference on Computer Vision (ICCV 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1919-1923.
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Nowozin S, Tsuda K, Uno T, Kudo T und BakIr G (Juni-2007) Weighted Substructure Mining for Image Analysis, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
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Technische Berichte (3):

Nowozin S und Tsuda K: Frequent Subgraph Retrieval in Geometric Graph Databases, 180, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (November-2008).
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Gehler PV und Nowozin S: Infinite Kernel Learning, 178, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (Oktober-2008).
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Dhillon PS, Nowozin S und Lampert CH: Combining Appearance and Motion for Human Action Classification in Videos, 174, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (August-2008).
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Abschlussarbeiten (2):

Nowozin S: Object Classification using Local Image Features, Technical University of Berlin, Berlin, Germany, (Mai-8-2006). Diplom thesis
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Nowozin S: Liver Perfusion using Level Set Methods, Shanghai JiaoTong University, Shanghai, China, (Juli-18-2005). Diplom thesis
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Last updated: Montag, 22.05.2017