Applications

Natora, M., Franke, F., Broda, S. and Obermayer, K. (2010). Optimal Steering Vector Adaptation for Linear Filters Leading to Robust Beamforming. Proceedings of International Symposium on Communications, Control and Signal Processing. IEEE, 1 – 6.

Neubauer, N. and Obermayer, K. (2010). Community Detection in Tagging-Induced Hypergraphs. Workshop on Information in Networks, 24.- 25. September 2010, New York University, NY, USA, 1-5.

Pannicke, D., Hahne, M., Neubauer, N., Ochab, B., Lieb, R., Meister, M., Obermayer, K., Rammert, W. and Zarnekow, R. (2010). Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten. Multikonferenz Wirtschaftsinformatik 2010. Universitätsverlag Göttingen, 1191 – 1201.

Jain, B. and Obermayer, K. (2009). Bimal: Bipartite Matching Alignment for the Contact Map Overlap Problem. 2009 International Joint Conference on Neural Networks. IEEE, 1394 – 1400.

Jain, B., Stehr, H., Lappe, M. and Obermayer, K. (2009). Multiple Alignment of Contact Maps. 2009 International Joint Conference on Neural Networks. IEEE, 1401 – 1406.

Murfi, H. and Obermayer, K. (2009). A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations. Proceedings ECML PKDD Discovery Challenge, 201 – 214.

Natora, M., Franke, F. and Obermayer, K. (2009). Optimal Convolutive Filters for Real-Time Detection and Arrival Time Estimation of Transient Signals. Proceedings of World Academy of Science, Engineering and Technology. WASET, 235 – 240.

Neubauer, N., Wetzker, R. and Obermayer, K. (2009). Tag Spam Creates Large Non-Giant Connected Components. AIRWeb '09 Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web. Association for Computing Machinery, 49 – 52.

Mohr, J., Seo, S. and Obermayer, K. (2008). Automated Microarray Classification Based on P-SVM Gene Selection. Proceedings of the ICMLA '08: The Seventh International Conference on Machine Learning and Applications. IEEE, 503 – 507.

Adiloglu, K., Annies, R., Heinrich, F., Paus, A. and Obermayer, K. (2008). Version Space based Active Learning Strategies with an Application to Sound Design. Autonomous Systems - Self Organization, Management, and Control, 11 – 19.

Adiloglu, K., Annies, R., Visell, Y., Drioli, C. and Obermayer, K. (2008). The Adaptive Bottle. Proceedings International Computer Music Conference. International Computer Music Association, (1 – 4).

Martinez, E., Adiloglu, K., Annies, R., Purwins, H. and Obermayer, K. (2007). Representation of Everyday Sounds for Classification of their Perceived Function. Proc. Audio Mostly Conference, 90 – 95.

Neubauer, N., Scheel, C., Albayrak, A. and Obermayer, K. (2007). Distance Measures in Query Space: How Strongly to Use Feedback from Past Queries. Proceedings of the IEEE Conference on Web Intelligence 2007. IEEE, 607 – 613.

Annies, R., Martinez, E., Adiloglu, K., Purwins, H. and Obermayer, K. (2007). Classification Schemes for Step Sounds Based on Gammatone-Filters. Proceedings of the IEEE Conference on Web Intelligence 2007

Adiloglu, K. and Obermayer, K. (2006). Melodic Topologies. Proceedings of the International Computer Music Conference, 111 – 114.

Adiloglu, K. and Obermayer, K. (2006). A Reduction Method for the Paradigmatic Melodic Analysis. Proceedings International Conference on Mathematics and Computation in Music

Adiloglu, K. and Obermayer, K. (2005). Finding Subsequences of Melodies in Musical Pieces. Proceedings International Computer Music Conference, 483 – 487.

Adiloglu, K. and Obermayer, K. (2004). An Evolutionary Approximation of the Similarity Neighborhood Model for the Melodic Segmentation. Proceedings of the 4th Interantional Conference on Understanding and Creating Music, Caserta, 23 – 27.

Hochreiter, S. and Obermayer, K. (2003). Classification and Feature Selection on Matrix Data with Application to Gene-Expression Analysis. Proceedings of the International Statistical Institute, (1 – 4).

Kim, H., Obermayer, K., Bode, M. and Ruswisch, D. (2001). A 1.2KBPS Speech Codec Using Spectral Vector Quantization of Differential Feature Vectors. Proceedings ICSP, 304.