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TU Berlin

Inhalt des Dokuments

All Publications

2007

Jain, B. and Obermayer, K. (2007). Theory of the Sample Mean of Structures. LNVD 2007, Learning from Non-vectorial Data, 9-16.


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.,10.1109/WI.2007.65


Scheel, C., Neubauer, N., Lommatzsch, A., Obermayer, K. and Albayrak, S. (2007). Efficient Query Delegation by Detecting Redundant Retrieval Strategies. SIGIR Workshop on Learning to Rank for Information Retrieval 2007, (1 – 8).,


Schummers, J., Cronin, B., Wimmer, K., Stimberg, M., Martin, R., Obermayer, K., Koerding, K. and Sur, M. (2007). Dynamics of Orientation Tuning in Cat V1 Neurons Depend on Location within Layers and Orientation Maps. Frontiers in Neuroscience, 1, 145 – 159.


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. (2007). Topological Features of the Two-Voice Inventions. Communications in Computer and Information Science. Springer Berlin Heidelberg, 67 – 73.,10.1007/978-3-642-04579-0_7


Stimberg, M., Hoch, T. and Obermayer, K. (2007). The Effect of Background Noise on the Precision of Pulse Packet Propagation in Feed-Forward Networks. Neurocomputing, 70, 1824 – 1828.


Young, J., Waleszczyk, W., Wang, C., Calford, M., Dreher, B. and Obermayer, K. (2007). Cortical Reorganization Consistent with Spike Timing- but not Correlation-Dependent Plasticity. Nat. Neurosci., 10, 887 – 889.


Gallinat, J., Obermayer, K. and Heinz, A. (2007). Systems Biology of the Dysfunctional Brain: Schizophrenia. Pharmacopsychiatry, 40, 40 – 44.


Grünewälder, S. and Obermayer, K. (2007). Optimality of LSTD and its Relation to MC. Neural Networks, IJCNN 2007, 338 – 343.,


2006

Hochreiter, J. and Obermayer, K. (2006). Support Vector Machines for Dyadic Data. Neural Comput., 18, 1472 – 1510.


Hochreiter, S., Clevert, D.-A. and Obermayer, K. (2006). A New Summarization Method for Affymetrix Probe Level Data. Bioinformatics, 22, 943 – 949.


Hochreiter, S. and Obermayer, K. (2006). Nonlinear Feature Selection with the Potential Support Vector Machine. Feature Extraction: Foundations and Applications. Springer Berlin Heidelberg, 419 – 438.,10.1007/978-3-540-35488-8_20


Mohr, J., Puls, I., Wrase, J., Hochreiter, S., Heinz, A. and Obermayer, K. (2006). P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. IJCNN 2006 Conference Proceedings, 5020 – 5027.,


Schwabe, L., Obermayer, K., Angelucci, A. and Bressloff, P. (2006). The Role of Feedback in Shaping the Extra-Classical Receptive Field of Cortical Neurons: A Recurrent Network Model. Journal of Neuroscience, 26, 9117 – 9129.


Schwetz, I., Gruhler, G. and Obermayer, K. (2006). A Cross-Spectrum Weighting Algorithm for Speech Enhancement and Array Processing: Combining Locating and Long-Term Statistics. J. Acoust. Soc. Amer., 119, 952 – 964.


Seo, S. and Obermayer, K. (2006). Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006 Conference Proceedings. IEEE, 3196 – 3203.,10.1109/IJCNN.2006.247304


Adiloglu, K., Noll, T. and Obermayer, K. (2006). A Paradigmatic Approach to Extract the Melodic Structure of a Musical Piece. Journal New Music Research, 35, 221 – 236.


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


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