Edgar Körner

According to our database1, Edgar Körner authored at least 74 papers between 1987 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2016
Toward Self-Referential Autonomous Learning of Object and Situation Models.
Cogn. Comput., 2016

2012
A life-long learning vector quantization approach for interactive learning of multiple categories.
Neural Networks, 2012

Does Spike-Timing-Dependent Synaptic Plasticity Couple or Decouple Neurons Firing in Synchrony?
Frontiers Comput. Neurosci., 2012

2011
Active 3D Object Localization Using a Humanoid Robot.
IEEE Trans. Robotics, 2011

2010
Kognitive Humanoide Robotik: Entwicklungsschritte in Lernen und Verhaltensorganisation (Cognitive Humanoid Robotics: Steps Toward Learning and Behavior Organization).
Autom., 2010

Movement control in biologically plausible frames of reference.
Proceedings of the ISR/ROBOTIK 2010, Proceedings for the joint conference of ISR 2010 (41st Internationel Symposium on Robotics) und ROBOTIK 2010 (6th German Conference on Robotics), 7-9 June 2010, Munich, Germany, 2010

Towards autonomous bootstrapping for life-long learning categorization tasks.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Creating Brain-Like Intelligence.
Proceedings of the Creating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systems, 2009

Cortext: A columnar model of bottom-up and top-down processing in the neocortex.
Neural Networks, 2009

A Model for Learning Topographically Organized Parts-Based Representations of Objects in Visual Cortex: Topographic Nonnegative Matrix Factorization.
Neural Comput., 2009

A vision architecture for unconstrained and incremental learning of multiple categories.
Memetic Comput., 2009

Online figure-ground segmentation with adaptive metrics in generalized LVQ.
Neurocomputing, 2009

Experimental Evaluation of Approaches for Long Term Prediction of Human Movement Trajectories.
Aust. J. Intell. Inf. Process. Syst., 2009

Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Prediction and Classification of Motion Trajectories Using Spatio-Temporal NMF.
Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Brain-like intelligence inside - Towards autonomously interacting systems.
Proceedings of the International Joint Conference on Neural Networks, 2009

Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF.
Proceedings of the Artificial Neural Networks, 2009

Large-Scale Real-Time Object Identification Based on Analytic Features.
Proceedings of the Artificial Neural Networks, 2009

2008
Rule Extraction from Compact Pareto-optimal Neural Networks.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

Estimating Object Proper Motion Using Optical Flow, Kinematics, and Depth Information.
IEEE Trans. Syst. Man Cybern. Part B, 2008

A biologically motivated visual memory architecture for online learning of objects.
Neural Networks, 2008

Whole Body Motion Planning.
Künstliche Intell., 2008

Online Learning for Bootstrapping of Object Recognition and Localization in a Biologically Motivated Architecture.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

Attention Modulation Using Short- and Long-Term Knowledge.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

An Integrated System for Incremental Learning of Multiple Visual Categories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

A Vector Quantization Approach for Life-Long Learning of Categories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Time Series Analysis for Long Term Prediction of Human Movement Trajectories.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Echo State Networks for Online Prediction of Movement Data - Comparing Investigations.
Proceedings of the Artificial Neural Networks, 2008

Robust object segmentation by adaptive metrics in Generalized LVQ.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding.
Neural Comput., 2007

Elements of Cognitive Robotics (Elemente kognitiver Robotik).
it Inf. Technol., 2007

Adaptive scene dependent filters for segmentation and online learning of visual objects.
Neurocomputing, 2007

Simulations of signal flow in a functional model of the cortical column.
Neurocomputing, 2007

A cell assembly based model for the cortical microcircuitry.
Neurocomputing, 2007

Online Learning of Objects in a Biologically Motivated Visual Architecture.
Int. J. Neural Syst., 2007

A Probabilistic Method for Motion Pattern Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Cortex-Inspired Neural-Symbolic Network for Knowledge Representation.
Proceedings of the 3rd International Workshop on Neural-Symbolic Learning and Reasoning, 2007

Walking Appearance Manifolds without Falling Off.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Uncertainty optimization for robust dynamic optical flow estimation.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Sparse and Transformation-Invariant Hierarchical NMF.
Proceedings of the Artificial Neural Networks, 2007

A Comparison of Features in Parts-Based Object Recognition Hierarchies.
Proceedings of the Artificial Neural Networks, 2007

Template Matching for Large Transformations.
Proceedings of the Artificial Neural Networks, 2007

2006
Simultaneous Generation of Accurate and Interpretable Neural Network Classifiers.
Proceedings of the Multi-Objective Machine Learning, 2006

A Probabilistic Model for Binaural Sound Localization.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Non-Gaussian velocity distributions integrated over space, time, and scales.
IEEE Trans. Syst. Man Cybern. Part B, 2006

A Biologically Motivated System for Unconstrained Online Learning of Visual Objects.
Proceedings of the Artificial Neural Networks, 2006

Adaptive scene-dependent filters in online learning environments.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Evolutionary optimization of a hierarchical object recognition model.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Spike-latency codes and the effect of saccades.
Neurocomputing, 2005

Learning viewpoint invariant object representations using a temporal coherence principle.
Biol. Cybern., 2005

Sound source separation for a robot based on pitch.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Online Learning for Object Recognition with a Hierarchical Visual Cortex Model.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Class-Specific Sparse Coding for Learning of Object Representations.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2005

Probabilistic Color Optical Flow.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

Rapid Online Learning of Objects in a Biologically Motivated Recognition Architecture.
Proceedings of the Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, August 31, 2005

2004
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model.
Proceedings of the Parallel Problem Solving from Nature, 2004

Building a Motion Resolution Pyramid by Combining Velocity Distributions.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Learning Optimized Features for Hierarchical Models of Invariant Object Recognition.
Neural Comput., 2003

Information processing with spiking neurons in a cortical architecture framework under the control of an oscillatory signal.
Neurocomputing, 2003

A model of surface detection and orientation tuning in primate visual cortex.
Neurocomputing, 2003

Sparse Coding with Invariance Constraints.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Unsupervised Learning of Combination Features for Hierarchical Recognition Models.
Proceedings of the Artificial Neural Networks, 2002

Non-negative matrix factorization extended by sparse code shrinkage and weight sparsification non-negative matrix factorization algorithms.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Two separate processing streams in a cortical-type architecture.
Neurocomputing, 2001

2000
Hypothetical reasoning and brainware.
Appl. Math. Comput., 2000

1999
A model of computation in neocortical architecture.
Neural Networks, 1999

1998
Cortical architecture and self-referential control for brain-like processing in artificial neural systems.
Artif. Life Robotics, 1998

1997
A Cortical-type Modular Neural Network for Hypothetical Reasoning.
Neural Networks, 1997

Concurrent Parallel-Sequential Processing in Gamma Controlled Cortical-Type Networks of Spiking Neurones.
Proceedings of the Artificial Neural Networks, 1997

1988
Control of sensory processing - a hypothesis on and simulation of the architecture of an elementary cortical prosessor.
Proceedings of the Parcella '88, 1988

1987
Parallel in Sequence - Towards the Architecture of an Elementary Cortical Processor.
Proceedings of the Parallel Algorithms and Architectures, 1987


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