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TU Berlin

Inhalt des Dokuments

Anwendungen

Publikationen

Hochreiter, S. and Obermayer, K. (2004). Gene Selection for Microarray Data. Kernel Methods in Computational Biology. MIT Press, 319 – 356.,


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).,


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.,10.1109/IJCNN.2009.5178901


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.,10.1109/IJCNN.2009.5178907


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.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2001). Efficient Speech Enhancement by Diffusive Gain Factors (DGF). Proc. Eurospeech 2001, 1867 – 1870.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2001). Real-Time Noise Suppression Based on Diffusive Gain Factors. Proceedings ICSP,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2000). Real-time Noise Cancelling Based on Spectral Minimum Detection and Diffusive Gain Factors,. Proceedings of the 8th Australian International Conference on Speech Science & Technology, 256 – 261.,


Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2000). A 1.6 KBPS Speech Codec Using Spectral Vector Quantization of Differential Features. Proceedings of the 8th Australian International Conference on Speech Science & Technology, 404 – 409.,


Kim, H., Obermayer, K. and Ruwisch, D. (2000). Real-Time Noise Cancelling with Spectral Diffusion. Proceedings of the 1st IEEE Electro/Information Technology Conference, 206 – EIT 536.,


Krepki, R., Pu, Y., Meng, H. and Obermayer, K. (1999). A New Algorithm for the Interrogation of 3D Holographic Particle Tracking Velocimetry Data Based on Deterministic Annealing and EM-Optimizazion. 3rd International Workshop on Particle Image Velocimetry. PIV \'99, Santa Barbara, CA, USA, (1 – 14).,


Kuzmanovski, A., Stellmacher, M. and Obermayer, K. (1998). A New Algorithm for the Evaluation of PTV Data Using Point Matching Distance Mesaures and Deterministic Annealing. Proc. Int. Symp. on Appl. of Laser Techniques to Fluid Mechanics, 10.4.1 – 10.4.6.,


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.,


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.,10.1109/ICMLA.2008.75


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., 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.,10.1109/ISCCSP.2010.5463496


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.,


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.,10.1109/WI.2007.65


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.,10.1145/1531914.1531925


Normann, I., Purwins, H. and Obermayer, K. (2001). Spectrum of Pitch Differences Models the Perception of Octave Ambiguous Tones. International Computer Music Conference, (1 – 3).,


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