All Publications

Jain, B. and Obermayer, K. (2009). Algorithms for the Sample Mean of Graphs. Lecture Notes in Computer Science, 351 – 359.,

Jain, B., Srinivasan, S. D., Tissen, A. and Obermayer, K. (2010). Learning Graph Quantization. Structural, Syntactic, and Statistical Pattern Recognition. Springer Berlin Heidelberg, 109 – 118.,10.1007/978-3-642-14980-1_10

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

Jain, B. and Obermayer, K. (2011). Graph Quantization. J. Comput. Vision Image Understanding, 115, 946–961.

Jain, B. and Obermayer, K. (2009). Structure Spaces. Journal of Machine Learning Research, 10, 2667 – 2714.

Jain, B. and Obermayer, K. (2008). On the Sample Mean of Graphs. 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence). IEEE, 993 – 1000.,10.1109/IJCNN.2008.4633920

Jain, B. and Obermayer, K. (2011). Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem. ,

Jain, B. and Obermayer, K. (2010). Accelerating Competetive Learning Graph Quantization. ,

Jain, B. and Obermayer, K. (2009). A Necessary and Sufficient Condition for Graph Matching Being Equivalent ot the Maximum Weight Clique Problem. ,

Jajcay, N., Cakan, C. and Obermayer, K. (2022). Cross-frequency slow oscillation-spindle coupling in a biophysically realistic thalamocortical neural mass model. Frontiers in Computational Neuroscience, 16, 769860.

Kanev, J., Wenning, G. and Obermayer, K. (2004). Approximating the Response-Stimulus Correlation for the Integrate and Fire Neuron. Journal of Neurocomputing, 58-60, 47 – 52.

Kanev, J., Koutsou, A., Christodoulou, C. and Obermayer, K. (2016). Integrator or Coincidence Detector - a Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Computation, 28, 1-38.

Khakimova, L., Malinowski, R., Obst, D., Tönnies, E., Antonenko, D., Obermayer, K. H. J. and Flöel, A. (In press). Towards Optimization of Oscillatory Stimulation during Sleep. Neuromodulation

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.,

Kim, H., Obermayer, K., Bode, M. and Ruwisch, D. (2001). Modified Spectral Substraction using Diffusive Gain Factors. Proceedings IEEE/EURASIP International Workshop on Acoustic Echo and Noise Control,