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ORCIDKlaus Obermayer
Person information
- affiliation: Technical University of Berlin, Department of Mathematics, Germany
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2020 – today
- 2022
[j92]Nikola Jajcay
, Caglar Cakan, Klaus Obermayer:
Cross-Frequency Slow Oscillation-Spindle Coupling in a Biophysically Realistic Thalamocortical Neural Mass Model. Frontiers Comput. Neurosci. 16: 769860 (2022)- [j91]Lucas Rebscher, Klaus Obermayer, Christoph Metzner:
Synchronization Through Uncorrelated Noise in Excitatory-Inhibitory Networks. Frontiers Comput. Neurosci. 16: 825865 (2022) - [j90]Lena Salfenmoser, Klaus Obermayer:
Nonlinear optimal control of a mean-field model of neural population dynamics. Frontiers Comput. Neurosci. 16 (2022) - [j89]Denis Alevi, Marcel Stimberg, Henning Sprekeler, Klaus Obermayer, Moritz Augustin:
Brian2CUDA: Flexible and Efficient Simulation of Spiking Neural Network Models on GPUs. Frontiers Neuroinformatics 16 (2022) - [c94]Shashi Durbha, Thomas Goerttler, Eduardo Vellasques, Jan Hendrik Stockemer, Klaus Obermayer:
Intrinsic Analysis of Learned Representations in Encoder-Decoder Architectures. LWDA 2022: 67-78 - [i19]Thomas Goerttler, Klaus Obermayer:
Similarity of Pre-trained and Fine-tuned Representations. CoRR abs/2207.09225 (2022) - [i18]Jonas Dippel, Matthias Lenga, Thomas Goerttler, Klaus Obermayer, Johannes Höhne:
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder. CoRR abs/2207.14508 (2022) - 2021
- [j88]Caglar Cakan, Cristiana Dimulescu, Liliia Khakimova, Daniela Obst, Agnes Flöel, Klaus Obermayer:
Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep. Frontiers Comput. Neurosci. 15: 800101 (2021) - [j87]Caglar Cakan, Klaus Obermayer:
Correction: Biophysically grounded mean-field models of neural populations under electrical stimulation. PLoS Comput. Biol. 17(2) (2021) - [i17]Teresa Chouzouris, Nicolas Roth, Caglar Cakan, Klaus Obermayer:
Applications of nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators. CoRR abs/2102.08524 (2021) - [i16]Thomas Goerttler, Klaus Obermayer:
Exploring the Similarity of Representations in Model-Agnostic Meta-Learning. CoRR abs/2105.05757 (2021) - [i15]Nicolas Roth, Pia Bideau, Olaf Hellwich, Martin Rolfs, Klaus Obermayer:
A modular framework for object-based saccadic decisions in dynamic scenes. CoRR abs/2106.06073 (2021) - 2020
- [j86]Caglar Cakan, Klaus Obermayer:
Biophysically grounded mean-field models of neural populations under electrical stimulation. PLoS Comput. Biol. 16(4) (2020) - [j85]Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa, Klaus Obermayer:
Joining Sound Event Detection and Localization Through Spatial Segregation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 487-502 (2020)
2010 – 2019
- 2019
- [j84]Josef Ladenbauer, Klaus Obermayer:
Weak electric fields promote resonance in neuronal spiking activity: Analytical results from two-compartment cell and network models. PLoS Comput. Biol. 15(4) (2019) - [i14]Ivo Trowitzsch, Jalil Taghia, Youssef Kashef, Klaus Obermayer:
The NIGENS General Sound Events Database. CoRR abs/1902.08314 (2019) - [i13]Ivo Trowitzsch, Christopher Schymura, Dorothea Kolossa, Klaus Obermayer:
Joining Sound Event Detection and Localization Through Spatial Segregation. CoRR abs/1904.00055 (2019) - [i12]Vaios Laschos, Jan Tinapp, Klaus Obermayer:
Training Generative Networks with general Optimal Transport distances. CoRR abs/1910.00535 (2019) - 2018
- [j83]Florian Aspart, Michiel W. H. Remme, Klaus Obermayer:
Differential polarization of cortical pyramidal neuron dendrites through weak extracellular fields. PLoS Comput. Biol. 14(5) (2018) - [c93]Chang Liu, Songyun Xie, Xinzhou Xie, Xu Duan, Wei Wang, Klaus Obermayer:
Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method. BCI 2018: 1-4 - 2017
- [j82]Robert Meyer, Josef Ladenbauer, Klaus Obermayer:
The Influence of Mexican Hat Recurrent Connectivity on Noise Correlations and Stimulus Encoding. Frontiers Comput. Neurosci. 11: 34 (2017) - [j81]Raphaël Holca-Lamarre, Jörg Lücke, Klaus Obermayer:
Models of Acetylcholine and Dopamine Signals Differentially Improve Neural Representations. Frontiers Comput. Neurosci. 11: 54 (2017) - [j80]Christian Donner, Klaus Obermayer, Hideaki Shimazaki:
Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations. PLoS Comput. Biol. 13(1) (2017) - [j79]Franziska Oschmann, Konstantin Mergenthaler, Evelyn Jungnickel, Klaus Obermayer:
Spatial separation of two different pathways accounting for the generation of calcium signals in astrocytes. PLoS Comput. Biol. 13(2) (2017) - [j78]Moritz Augustin, Josef Ladenbauer, Fabian Baumann, Klaus Obermayer:
Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. PLoS Comput. Biol. 13(6) (2017) - [j77]Ivo Trowitzsch, Johannes Mohr, Youssef Kashef, Klaus Obermayer:
Robust Detection of Environmental Sounds in Binaural Auditory Scenes. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1344-1356 (2017) - 2016
- [j76]Songyun Xie, Chang Liu, Klaus Obermayer, Fangshi Zhu, Linan Wang, Xinzhou Xie, Wei Wang:
Stimulator Selection in SSVEP-Based Spatial Selective Attention Study. Comput. Intell. Neurosci. 2016: 6410718:1-6410718:9 (2016) - [j75]Robert Meyer, Klaus Obermayer:
pypet: A Python Toolkit for Data Management of Parameter Explorations. Frontiers Neuroinformatics 10: 38 (2016) - [j74]Jacob Kanev, Achilleas Koutsou, Chris Christodoulou, Klaus Obermayer:
Integrator or Coincidence Detector: A Novel Measure Based on the Discrete Reverse Correlation to Determine a Neuron's Operational Mode. Neural Comput. 28(10): 2091-2128 (2016) - [j73]Florian Aspart, Josef Ladenbauer, Klaus Obermayer:
Extending Integrate-and-Fire Model Neurons to Account for the Effects of Weak Electric Fields and Input Filtering Mediated by the Dendrite. PLoS Comput. Biol. 12(11) (2016) - [i11]Wendelin Böhmer, Rong Guo, Klaus Obermayer:
Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning. CoRR abs/1612.07548 (2016) - 2015
- [j72]Felix Franke, Rodrigo Quian Quiroga, Andreas Hierlemann, Klaus Obermayer:
Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. J. Comput. Neurosci. 38(3): 439-459 (2015) - [j71]Felix Franke, Rodrigo Quian Quiroga, Andreas Hierlemann, Klaus Obermayer:
Erratum to: Bayes optimal template matching for spike sorting - combining fisher discriminant analysis with optimal filtering. J. Comput. Neurosci. 38(3): 461 (2015) - [j70]Matthias Guggenmos, Marcus Rothkirch, Klaus Obermayer, John-Dylan Haynes, Philipp Sterzer:
A Hippocampal Signature of Perceptual Learning in Object Recognition. J. Cogn. Neurosci. 27(4): 787-797 (2015) - [j69]Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer:
Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. Künstliche Intell. 29(4): 353-362 (2015) - [c92]Sambu Seo, Johannes Mohr, Ningfei Li, Andreas Horn, Klaus Obermayer:
Incremental pairwise clustering for large proximity matrices. IJCNN 2015: 1-8 - [c91]Wendelin Böhmer, Klaus Obermayer:
Regression with Linear Factored Functions. ECML/PKDD (1) 2015: 119-134 - 2014
- [j68]Yun Shen, Michael J. Tobia, Tobias Sommer, Klaus Obermayer:
Risk-Sensitive Reinforcement Learning. Neural Comput. 26(7): 1298-1328 (2014) - [j67]Michael J. Tobia, R. Guo, U. Schwarze, Wendelin Böhmer, Jan Gläscher, B. Finckh, A. Marschner, Christian Büchel, Klaus Obermayer, Tobias Sommer:
Neural systems for choice and valuation with counterfactual learning signals. NeuroImage 89: 57-69 (2014) - [j66]Johannes Mohr, Jong-Han Park, Klaus Obermayer:
A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception. Neural Networks 60: 182-193 (2014) - [c90]Yun Shen, Wilhelm Stannat, Klaus Obermayer:
A unified framework for risk-sensitive Markov control processes. CDC 2014: 1073-1078 - [c89]Yun Shen, Ruihong Huang, Chang Yan, Klaus Obermayer:
Risk-averse reinforcement learning for algorithmic trading. CIFEr 2014: 391-398 - [c88]Johannes Mohr, Sambu Seo, Klaus Obermayer:
A classifier-based association test for imbalanced data derived from prediction theory. IJCNN 2014: 487-493 - [r1]Klaus Obermayer:
Learning Rules: Overview. Encyclopedia of Computational Neuroscience 2014 - [i10]Wendelin Böhmer, Klaus Obermayer:
Factored Representations for Regression. CoRR abs/1412.6286 (2014) - 2013
- [j65]Moritz Augustin, Josef Ladenbauer, Klaus Obermayer:
How adaptation shapes spike rate oscillations in recurrent neuronal networks. Frontiers Comput. Neurosci. 7: 9 (2013) - [j64]Robert Pröpper, Klaus Obermayer:
Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis. Frontiers Neuroinformatics 7: 26 (2013) - [j63]Wendelin Böhmer, Steffen Grünewälder, Yun Shen, Marek Musial, Klaus Obermayer:
Construction of approximation spaces for reinforcement learning. J. Mach. Learn. Res. 14(1): 2067-2118 (2013) - [j62]Yun Shen, Wilhelm Stannat, Klaus Obermayer:
Risk-Sensitive Markov Control Processes. SIAM J. Control. Optim. 51(5): 3652-3672 (2013) - [c87]Songyun Xie, Fangshi Zhu, Klaus Obermayer, Petra Ritter, Linan Wang:
A spatial selective visual attention pattern recognition method based on joint short SSVEP. IJCNN 2013: 1-7 - [i9]Yun Shen, Michael J. Tobia, Tobias Sommer, Klaus Obermayer:
Risk-sensitive Reinforcement Learning. CoRR abs/1311.2097 (2013) - 2012
- [j61]Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Mach. Learn. 89(1-2): 67-86 (2012) - [j60]Josef Ladenbauer, Moritz Augustin, LieJune Shiau, Klaus Obermayer:
Impact of Adaptation Currents on Synchronization of Coupled Exponential Integrate-and-Fire Neurons. PLoS Comput. Biol. 8(4) (2012) - [j59]Arno Onken, Valentin Dragoi, Klaus Obermayer:
A Maximum Entropy Test for Evaluating Higher-Order Correlations in Spike Counts. PLoS Comput. Biol. 8(6) (2012) - [j58]Kamil Adiloglu, Robert Anniés, Elio Wahlen, Hendrik Purwins, Klaus Obermayer:
A Graphical Representation and Dissimilarity Measure for Basic Everyday Sound Events. IEEE Trans. Speech Audio Process. 20(5): 1542-1552 (2012) - [c86]Sambu Seo, Johannes Mohr, Hauke R. Heekeren, Andreas Heinz, Ben Eppinger, Shu-Chen Li, Klaus Obermayer:
A voxel selection method for the multivariate analysis of imaging genetics data. IJCNN 2012: 1-7 - [i8]Brijnesh J. Jain, Klaus Obermayer:
Learning in Riemannian Orbifolds. CoRR abs/1204.4294 (2012) - 2011
- [j57]Brijnesh J. Jain, Klaus Obermayer:
Graph quantization. Comput. Vis. Image Underst. 115(7): 946-961 (2011) - [j56]Michal Natora, Klaus Obermayer:
An Unsupervised and Drift-Adaptive Spike Detection Algorithm Based on Hybrid Blind Beamforming. EURASIP J. Adv. Signal Process. 2011 (2011) - [j55]Steffen Grünewälder, Klaus Obermayer:
The optimal unbiased value estimator and its relation to LSTD, TD and MC. Mach. Learn. 83(3): 289-330 (2011) - [j54]Nicolas Neubauer, Klaus Obermayer:
Tripartite community structure in social bookmarking data. New Rev. Hypermedia Multim. 17(3): 267-294 (2011) - [c85]Brijnesh J. Jain, Klaus Obermayer:
Maximum Likelihood for Gaussians on Graphs. GbRPR 2011: 62-71 - [c84]Brijnesh J. Jain, Klaus Obermayer:
Generalized Learning Graph Quantization. GbRPR 2011: 122-131 - [c83]Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer:
Regularized Sparse Kernel Slow Feature Analysis. ECML/PKDD (1) 2011: 235-248 - [i7]Brijnesh J. Jain, Klaus Obermayer:
Extending Bron Kerbosch for Solving the Maximum Weight Clique Problem. CoRR abs/1101.1266 (2011) - [i6]S. Deepak Srinivasan, Klaus Obermayer:
Probabilistic prototype models for attributed graphs. CoRR abs/1109.4744 (2011) - [i5]Yun Shen, Steffen Grünewälder, Klaus Obermayer:
A Unified Framework for Risk-sensitive Markov Decision Processes with Finite State and Action Spaces. CoRR abs/1110.6317 (2011) - 2010
- [j53]Johannes Mohr, Brijnesh J. Jain, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus Obermayer:
A Maximum Common Subgraph Kernel Method for Predicting the Chromosome Aberration Test. J. Chem. Inf. Model. 50(10): 1821-1838 (2010) - [j52]Felix Franke, Michal Natora, Clemens Boucsein, Matthias H. J. Munk, Klaus Obermayer:
An online spike detection and spike classification algorithm capable of instantaneous resolution of overlapping spikes. J. Comput. Neurosci. 29(1-2): 127-148 (2010) - [c82]Brijnesh J. Jain, Klaus Obermayer:
Consistent Estimator of Median and Mean Graph. ICPR 2010: 1032-1035 - [c81]Brijnesh J. Jain, Klaus Obermayer:
Elkan's k-Means Algorithm for Graphs. MICAI (2) 2010: 22-32 - [c80]Danny Pannicke, Michael Hahne, Nicolas Neubauer, Bartek Ochab, Renate Lieb, Martin Meister, Klaus Obermayer, Werner Rammert, Rüdiger Zarnekow:
Akzeptanzfähigkeit von Tagging-Systemen in benutzergenerierten virtuellen Welten. MKWI 2010: 1191-1202 - [c79]Brijnesh J. Jain, S. Deepak Srinivasan, Alexander Tissen, Klaus Obermayer:
Learning Graph Quantization. SSPR/SPR 2010: 109-118 - [c78]Brijnesh J. Jain, Klaus Obermayer:
Large Sample Statistics in the Domain of Graphs. SSPR/SPR 2010: 690-697 - [i4]Brijnesh J. Jain, Klaus Obermayer:
Graph Quantization. CoRR abs/1001.0921 (2010) - [i3]Brijnesh J. Jain, Klaus Obermayer:
Accelerating Competitive Learning Graph Quantization. CoRR abs/1001.0927 (2010)
2000 – 2009
- 2009
- [j51]Brijnesh J. Jain, Klaus Obermayer:
Structure Spaces. J. Mach. Learn. Res. 10: 2667-2714 (2009) - [j50]Imke Puls, Johannes Mohr, Jana Wrase, Sabine Vollstädt-Klein, Tagrid Leménager, Christian Vollmert, Michael A. Rapp, Klaus Obermayer, Andreas Heinz, Michael N. Smolka:
A model comparison of COMT effects on central processing of affective stimuli. NeuroImage 46(3): 683-691 (2009) - [j49]Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer:
Analyzing Short-Term Noise Dependencies of Spike-Counts in Macaque Prefrontal Cortex Using Copulas and the Flashlight Transformation. PLoS Comput. Biol. 5(11) (2009) - [j48]Nicolas Neubauer, Klaus Obermayer:
Hyperincident connected components of tagging networks. SIGWEB Newsl. 2009(Autumn): 4:1-4:10 (2009) - [c77]Nicolas Neubauer, Robert Wetzker, Klaus Obermayer:
Tag spam creates large non-giant connected components. AIRWeb 2009: 49-52 - [c76]Brijnesh J. Jain, Klaus Obermayer:
Algorithms for the Sample Mean of Graphs. CAIP 2009: 351-359 - [c75]Nicolas Neubauer, Klaus Obermayer:
Hyperincident connected components of tagging networks. Hypertext 2009: 229-238 - [c74]Sambu Seo, Johannes Mohr, Klaus Obermayer:
A New Incremental Pairwise Clustering Algorithm. ICMLA 2009: 223-228 - [c73]Michal Natora, Felix Franke, Matthias H. J. Munk, Klaus Obermayer:
Blind Source Separation of Sparse Overcomplete Mixtures and Application to Neural Recordings. ICA 2009: 459-466 - [c72]Brijnesh J. Jain, Klaus Obermayer:
Bimal: Bipartite matching alignment for the contact map overlap problem. IJCNN 2009: 1394-1400 - [c71]Brijnesh J. Jain, Brijnesh Stehr, Michael Lappe, Klaus Obermayer:
Multiple alignment of contact maps. IJCNN 2009: 1401-1406 - [c70]Arno Onken, Steffen Grünewälder, Klaus Obermayer:
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies. NIPS 2009: 1383-1391 - [c69]Hendri Murfi, Klaus Obermayer:
A Two-Level Learning Hierarchy of Concept Based Keyword Extraction for Tag Recommendations. DC@PKDD/ECML 2009 - [i2]Brijnesh J. Jain, Klaus Obermayer:
A Necessary and Sufficient Condition for Graph Matching Being Equivalent to the Maximum Weight Clique Problem. CoRR abs/0912.4584 (2009) - [i1]Brijnesh J. Jain, Klaus Obermayer:
Elkan's k-Means for Graphs. CoRR abs/0912.4598 (2009) - 2008
- [j47]Johannes Mohr, Brijnesh J. Jain, Klaus Obermayer:
Molecule Kernels: A Descriptor- and Alignment-Free Quantitative Structure-Activity Relationship Approach. J. Chem. Inf. Model. 48(9): 1868-1881 (2008) - [j46]Falk-Florian Henrich, Klaus Obermayer:
Active Learning by Spherical Subdivision. J. Mach. Learn. Res. 9: 105-130 (2008) - [j45]Tilman Knebel, Sepp Hochreiter, Klaus Obermayer:
An SMO Algorithm for the Potential Support Vector Machine. Neural Comput. 20(1): 271-287 (2008) - [j44]Klaus Wimmer, K. Jannis Hildebrandt, R. Matthias Hennig, Klaus Obermayer:
Adaptation and Selective Information Transmission in the Cricket Auditory Neuron AN2. PLoS Comput. Biol. 4(9) (2008) - [c68]Bartek Ochab, Nicolas Neubauer, Klaus Obermayer:
Personalized Recommendations for the Web 3D. AH 2008: 374-377 - [c67]Susanne Schönknecht, Carsten Duch, Klaus Obermayer, Michael Sibila:
3D Reconstruction of Neurons from Confocal Image Stacks and Visualization of Computational Modeling Experiments. Bildverarbeitung für die Medizin 2008: 158-162 - [c66]Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila:
Measuring the Reliability of Geometries in Magnet Resonance Angiography A Reference for Multimodal Image Registration?. Bildverarbeitung für die Medizin 2008: 368-372 - [c65]Manuel André Gaudnek, Andreas Hess, Klaus Obermayer, Michael Sibila:
Adaptive Threshold Masking. Bildverarbeitung für die Medizin 2008: 373-376 - [c64]Kamil Adiloglu, Robert Anniés, Klaus Obermayer, Yon Visell, Carlo Drioli:
Adaptive bottle. ICMC 2008 - [c63]Johannes Mohr, Sambu Seo, Imke Puls, Andreas Heinz, Klaus Obermayer:
Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies. ICMLA 2008: 182-187 - [c62]Johannes Mohr, Sambu Seo, Klaus Obermayer:
Automated Microarray Classification Based on P-SVM Gene Selection. ICMLA 2008: 503-507 - [c61]Brijnesh J. Jain, Klaus Obermayer:
On the sample mean of graphs. IJCNN 2008: 993-1000 - [c60]Kamil Adiloglu, Robert Anniés, Falk-Florian Henrich, André Paus, Klaus Obermayer:
Geometrical Approaches to Active Learning. SJTU-TUB Joint Workshop 2008: 11-19 - [c59]Arno Onken, Steffen Grünewälder, Matthias H. J. Munk, Klaus Obermayer:
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex. NIPS 2008: 1233-1240 - [c58]Klaus Wimmer, Marcel Stimberg, Robert Martin, Lars Schwabe, Jorge Mariño, James Schummers, David C. Lyon, Mriganka Sur, Klaus Obermayer:
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1. NIPS 2008: 1769-1776 - 2007
- [j43]Sepp Hochreiter, Martin Heusel, Klaus Obermayer:
Fast model-based protein homology detection without alignment. Bioinform. 23(14): 1728-1736 (2007) - [j42]Marcel Stimberg, Thomas Hoch, Klaus Obermayer:
The effect of background noise on the precision of pulse packet propagation in feed-forward networks. Neurocomputing 70(10-12): 1824-1828 (2007) - [c57]Steffen Grünewälder, Sepp Hochreiter, Klaus Obermayer:
Optimality of LSTD and its Relation to MC. IJCNN 2007: 338-343 - [c56]Nicolas Neubauer, Christian Scheel, Sahin Albayrak, Klaus Obermayer:
Distance Measures in Query Space: How Strongly to Use Feedback From Past Queries. Web Intelligence 2007: 607-613 - 2006
- [j41]Sepp Hochreiter, Djork-Arné Clevert, Klaus Obermayer:
A new summarization method for affymetrix probe level data. Bioinform. 22(8): 943-949 (2006) - [j40]Sepp Hochreiter, Klaus Obermayer:
Support Vector Machines for Dyadic Data. Neural Comput. 18(6): 1472-1510 (2006) - [j39]Roland Vollgraf, Klaus Obermayer:
Improved optimal linear filters for the discrimination of multichannel waveform templates for spike-sorting applications. IEEE Signal Process. Lett. 13(3): 121-124 (2006) - [j38]Roland Vollgraf, Klaus Obermayer:
Quadratic optimization for simultaneous matrix diagonalization. IEEE Trans. Signal Process. 54(9): 3270-3278 (2006) - [c55]Kamil Adiloglu, Klaus Obermayer:
Melodic Topologies. ICMC 2006 - [c54]Roland Vollgraf, Klaus Obermayer:
Sparse Optimization for Second Order Kernel Methods. IJCNN 2006: 145-152 - [c53]Sambu Seo, Klaus Obermayer:
Dynamic Hyperparameter Scaling Method for LVQ Algorithms. IJCNN 2006: 3196-3203 - [c52]