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Thomas Martinetz:
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Publications of Author
- Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach. [Citation Graph (0, 0)][DBLP] Artificial Intelligence and Applications, 2006, pp:428-433 [Conf]
- Amir Madany Mamlouk, Jan T. Kim, Erhardt Barth, Michael Brauckmann, Thomas Martinetz
One-Class Classification with Subgaussians. [Citation Graph (0, 0)][DBLP] DAGM-Symposium, 2003, pp:346-353 [Conf]
- Thomas Martinetz
MinOver Revisited for Incremental Support-Vector-Classification. [Citation Graph (0, 0)][DBLP] DAGM-Symposium, 2004, pp:187-194 [Conf]
- Daniel Polani, Thomas Martinetz, Jan T. Kim
An Information-Theoretic Approach for the Quantification of Relevance. [Citation Graph (0, 0)][DBLP] ECAL, 2001, pp:704-713 [Conf]
- Claus O. Wilke, Christopher Ronnewinkel, Thomas Martinetz
Molecular Evolution in Time-Dependent Environments. [Citation Graph (0, 0)][DBLP] ECAL, 1999, pp:417-421 [Conf]
- Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller
Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. [Citation Graph (0, 0)][DBLP] ESANN, 2003, pp:509-514 [Conf]
- Daniel Schneegaß, Thomas Martinetz, Michael Clausohm
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method. [Citation Graph (0, 0)][DBLP] ESANN, 2006, pp:575-580 [Conf]
- Martin Böhme, Michael Dorr, Thomas Martinetz, Erhardt Barth
Gaze-contingent temporal filtering of video. [Citation Graph (0, 0)][DBLP] ETRA, 2006, pp:109-115 [Conf]
- Thomas Villmann, Ralf Der, J. Michael Herrmann, Thomas Martinetz
Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement. [Citation Graph (0, 0)][DBLP] Fuzzy Days, 1994, pp:159-166 [Conf]
- Jan T. Kim, Thomas Martinetz, Daniel Polani
On the Effects of Transcription Factor Properties on the Information Content of Binding Sites. [Citation Graph (0, 0)][DBLP] German Conference on Bioinformatics, 2001, pp:192-194 [Conf]
- Martin Böhme, Christopher Krause, Thomas Martinetz, Erhardt Barth
Saliency Extraction for Gaze-Contingent Displays. [Citation Graph (0, 0)][DBLP] GI Jahrestagung (2), 2004, pp:646-650 [Conf]
- Thomas Martinetz, Kai Labusch, Daniel Schneegaß
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. [Citation Graph (0, 0)][DBLP] ICANN (2), 2005, pp:301-306 [Conf]
- Daniel Schneegaß, Kai Labusch, Thomas Martinetz
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. [Citation Graph (0, 0)][DBLP] ICANN (1), 2006, pp:150-158 [Conf]
- Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, Thomas Martinetz
Guiding Eye Movements for Better Communication and Augmented Vision. [Citation Graph (0, 0)][DBLP] PIT, 2006, pp:1-8 [Conf]
- Michael Dorr, Martin Böhme, Thomas Martinetz, Erhardt Barth
Gaze-Contingent Spatio-temporal Filtering in a Head-Mounted Display. [Citation Graph (0, 0)][DBLP] PIT, 2006, pp:205-207 [Conf]
- André Meyer, Martin Böhme, Thomas Martinetz, Erhardt Barth
A Single-Camera Remote Eye Tracker. [Citation Graph (0, 0)][DBLP] PIT, 2006, pp:208-211 [Conf]
- Martin Haker, André Meyer, Daniel Polani, Thomas Martinetz
A Method for Incorporation of New Evidence to Improve World State Estimation. [Citation Graph (0, 0)][DBLP] RoboCup, 2001, pp:362-367 [Conf]
- Daniel Polani, Thomas Martinetz
Team Description for Lucky Lübeck - Evidence-Based World State Estimation. [Citation Graph (0, 0)][DBLP] RoboCup, 2000, pp:481-484 [Conf]
- Thomas Martinetz, Amir Madany Mamlouk, Cicero Mota
Fast and Easy Computation of Approximate Smallest Enclosing Balls. [Citation Graph (0, 0)][DBLP] SIBGRAPI, 2006, pp:163-170 [Conf]
- Stan Berkovitch, Philippe Dalger, Ted Hesselroth, Thomas Martinetz, Benoît Noël, Jörg A. Walter, Klaus Schulten
Vector Quantization Algorithm for Time Series Prediction and Visuo-Motor Control of Robots. [Citation Graph (0, 0)][DBLP] Wissensbasierte Systeme, 1991, pp:443-447 [Conf]
- Christopher Ronnewinkel, Claus O. Wilke, Thomas Martinetz
Genetic Algorithms in Time-Dependent Environments [Citation Graph (0, 0)][DBLP] CoRR, 1999, v:0, n:, pp:- [Journal]
- Amir Madany Mamlouk, Hannah Sharp, Kerstin M. L. Menne, Ulrich G. Hofmann, Thomas Martinetz
Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations. [Citation Graph (0, 0)][DBLP] Neurocomputing, 2005, v:65, n:, pp:275-282 [Journal]
- Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, Erhardt Barth
Eye movement predictions on natural videos. [Citation Graph (0, 0)][DBLP] Neurocomputing, 2006, v:69, n:16-18, pp:1996-2004 [Journal]
- Jan T. Kim, Jan E. Gewehr, Thomas Martinetz
Binding Matrix: a Novel Approach for Binding Site Recognition. [Citation Graph (0, 0)][DBLP] J. Bioinformatics and Computational Biology, 2004, v:2, n:2, pp:289-308 [Journal]
- Thomas Martinetz, Klaus Schulten
Topology representing networks. [Citation Graph (0, 0)][DBLP] Neural Networks, 1994, v:7, n:3, pp:507-522 [Journal]
- Helge Ritter, Thomas Martinetz, Klaus Schulten
Topology-conserving maps for learning visuo-motor-coordination. [Citation Graph (0, 0)][DBLP] Neural Networks, 1989, v:2, n:3, pp:159-168 [Journal]
- Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. [Citation Graph (0, 0)][DBLP] ICANN (1), 2007, pp:109-118 [Conf]
Simple Incremental One-Class Support Vector Classification. [Citation Graph (, )][DBLP]
Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera. [Citation Graph (, )][DBLP]
Face Detection Using a Time-of-Flight Camera. [Citation Graph (, )][DBLP]
Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments. [Citation Graph (, )][DBLP]
Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification. [Citation Graph (, )][DBLP]
The Intrinsic Recurrent Support Vector Machine. [Citation Graph (, )][DBLP]
Learning Data Representations with Sparse Coding Neural Gas. [Citation Graph (, )][DBLP]
A software framework for simulating eye trackers. [Citation Graph (, )][DBLP]
Deictic Gestures with a Time-of-Flight Camera. [Citation Graph (, )][DBLP]
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. [Citation Graph (, )][DBLP]
Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. [Citation Graph (, )][DBLP]
Multimodal Sparse Features for Object Detection. [Citation Graph (, )][DBLP]
The Support Feature Machine for Classifying with the Least Number of Features. [Citation Graph (, )][DBLP]
A Learned Saliency Predictor for Dynamic Natural Scenes. [Citation Graph (, )][DBLP]
Fast model selection for MaxMinOver-based training of support vector machines. [Citation Graph (, )][DBLP]
Uncertainty propagation for quality assurance in Reinforcement Learning. [Citation Graph (, )][DBLP]
Welding Inspection using Novel Specularity Features and a One-class SVM. [Citation Graph (, )][DBLP]
Visibility of temporal blur on a gaze-contingent display. [Citation Graph (, )][DBLP]
Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas. [Citation Graph (, )][DBLP]
On the boundedness of an iteration involving points on the hypersphere [Citation Graph (, )][DBLP]
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