Books (1): |
|
•
|
Sra S  , Nowozin S  and Wright SJ : Optimization for Machine Learning, 494, MIT Press, Cambridge, MA, USA, (2011).
ISBN: 978-0-262-01646-9
|
Articles (1): |
|
•
|
Saigo H , Nowozin S , Kadowaki T , Kudo T and Tsuda K (2008) gBoost: A Mathematical Programming Approach to Graph Classification and Regression
Machine Learning 75(1) 69-89.

|
Conference papers (10): |
|
•
|
Gehler PV and Nowozin S (2009) On Feature Combination for Multiclass Object Classification
In: ICCV 2009, Twelfth IEEE International Conference on Computer Vision, IEEE Computer Society, Piscataway, NJ, USA, 221-228.
 
|
|
•
|
Dhillon PS , Nowozin S and Lampert C (2009) Combining appearance and motion for human action classification in videos
In: ViSU 2009, 1st International Workshop on Visual Scene Understanding, IEEE Service Center, Piscataway, NJ, USA, 22-29.
 
|
|
•
|
Nowozin S and Lampert CH (2009) Global Connectivity Potentials for Random Field Models
In: CVPR 2009, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Service Center, Piscataway, NJ, USA, 818-825.
  
|
|
•
|
Gehler PV and Nowozin S (2009) Let the Kernel Figure it Out: Principled Learning of Pre-processing for Kernel Classifiers
In: CVPR 2009, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Service Center, Piscataway, NJ, USA, 2836-2843.
 
|
|
•
|
Nowozin S and Jegelka S (2009) Solution Stability in Linear Programming Relaxations: Graph Partitioning and Unsupervised Learning
In: ICML 2009, (Ed) Danyluk, A. , L. Bottou, M. Littman, 26th International Conference on Machine Learning, ACM Press, New York, NY, USA, 769-776.
 
|
|
•
|
Nowozin S and Tsuda K (2008) Frequent Subgraph Retrieval in Geometric Graph Databases
In: ICDM 2008, (Ed) Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu, 8th IEEE International Conference on Data Mining, IEEE Computer Society, Los Alamitos, CA, USA, 953-958.
 
|
|
•
|
Gehler PV and Nowozin S (2008) Infinite Kernel Learning
NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels" (LK ASOK´08), 1-4.

|
|
•
|
Nowozin S and BakIr G (2008) A Decoupled Approach to Exemplar-based Unsupervised Learning
In: ICML 2008, (Ed) Cohen, W. W., A. McCallum, S. Roweis, 25th International Conference on Machine Learning, ACM Press, New York, NY, USA, 704-711.
 
|
|
•
|
Nowozin S , BakIr G and Tsuda K (2007) Discriminative Subsequence Mining for Action Classification
In: ICCV 2007, 11th IEEE International Conference on Computer Vision, IEEE Computer Society, Los Alamitos, CA, USA, 1919-1923.
 
|
|
•
|
Nowozin S , Tsuda K , Uno T , Kudo T and BakIr G (2007) Weighted Substructure Mining for Image Analysis
In: CVPR 2007, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Los Alamitos, CA, USA, 1-8.

|
Technical reports (3): |
|
•
|
Nowozin S and Tsuda K : Frequent Subgraph Retrieval in Geometric Graph Databases, 180, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (2008).
|
|
•
|
Gehler PV and Nowozin S : Infinite Kernel Learning, 178, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (2008).

|
|
•
|
Dhillon PS , Nowozin S and Lampert CH : Combining Appearance and Motion for Human
Action Classification in Videos, 174, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (2008).
|
Theses (3): |
|
•
|
Nowozin S : Learning with Structured Data: Applications to Computer Vision, Technische Universität Berlin, Germany, (2009).
PhD thesis
|
|
•
|
Nowozin S : Object Classification using Local Image Features, Technical University of Berlin, Berlin, Germany, (2006).
Diplom thesis
|
|
•
|
Nowozin S : Liver Perfusion using Level Set Methods, Shanghai JiaoTong University, Shanghai, China, (2005).
Diplom thesis
|