Gabriele Peters

Affiliations:
  • University of Hagen, Faculty of Mathematics and Computer Science


According to our database1, Gabriele Peters authored at least 55 papers between 1997 and 2022.

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

Timeline

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PhD thesis 
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Bibliography

2022
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments.
CoRR, 2022

2020
On the Robustness of Convolutional Neural Networks Regarding Transformed Input Images.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

2019
Challenging the Intuition about Memory and Computation in Theories of Cognition.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

2018
A Grid Cell Inspired Model of Cortical Column Function.
Proceedings of the 10th International Joint Conference on Computational Intelligence, 2018

Self-Learning 3D Object Classification.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

2017
Entorhinal Grid Cells May Facilitate Pattern Separation in the Hippocampus.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

2016
Modelling the Grid-like Encoding of Visual Space in Primates.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Noise Resilience of an RGNG-based Grid Cell Model.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Evaluation of Local 3-D Point Cloud Descriptors in Terms of Suitability for Object Classification.
Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2016), 2016

A Sparse Representation of High-Dimensional Input Spaces Based on an Augmented Growing Neural Gas.
Proceedings of the GCAI 2016. 2nd Global Conference on Artificial Intelligence, September 19, 2016

2015
Analysis of high-dimensional data using local input space histograms.
Neurocomputing, 2015

Highly Parallelizable Algorithm for Keypoint Detection in 3-D Point Clouds.
Proceedings of the Informatics in Control, 2015

Adaptive 3-D Object Classification with Reinforcement Learning.
Proceedings of the ICINCO 2015, 2015

Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds.
Proceedings of the ICINCO 2015, 2015

A New View on Grid Cells Beyond the Cognitive Map Hypothesis.
Proceedings of the Artificial General Intelligence, 2015

2014
Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal.
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014

Supporting GNG-based clustering with local input space histograms.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning.
Neural Process. Lett., 2013

A Computational Model of Grid Cells based on Dendritic Self-organized Learning.
Proceedings of the IJCCI 2013, 2013

Exploratory Modeling of Complex Information Processing Systems.
Proceedings of the ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Reykjavík, Iceland, 29, 2013

2012
Visualization of processes in self-learning systems.
Proceedings of the Tenth Annual International Conference on Privacy, Security and Trust, 2012

Making a Reinforcement Learning Agent Believe.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists.
Int. J. Creative Interfaces Comput. Graph., 2011

Six Necessary Qualities of Self-learning Systems - A Short Brainstorming.
Proceedings of the NCTA 2011, 2011

Improved Revision of Ranking Functions for the Generalization of Belief in the Context of Unobserved Variables.
Proceedings of the NCTA 2011, 2011

Ranking Functions in Large State Spaces.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

A Hybrid Learning System for Object Recognition.
Proceedings of the ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, Volume 2, Noordwijkerhout, The Netherlands, 28, 2011

2010
The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences.
Kybernetika, 2010

An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic.
Proceedings of the Artificial Neural Networks, 2010

2009
Take Three Snapshots - A Tool for Fast Freehand Acquisition of 3D Objects.
Proceedings of the Human-Computer Interaction, 2009

Relational Reinforcement Learning Applied to Appearance-Based Object Recognition.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Dark days - New York.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2008

Belief revision with reinforcement learning for interactive object recognition.
Proceedings of the ECAI 2008, 2008

Combining Reinforcement Learning and Belief Revision - A Learning System for Active Vision.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008

2007
Dynamic learning of action patterns for object acquisition.
Int. J. Intell. Syst. Technol. Appl., 2007

Aesthetic Primitives of Images for Visualization.
Proceedings of the 11th International Conference on Information Visualisation, 2007

Extension of the generalized image rectification - catching the infinity cases.
Proceedings of the ICINCO 2007, 2007

A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces.
Proceedings of the Artificial Neural Networks, 2007

Image Segmentation Based on Height Maps.
Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006
A Vision System for Interactive Object Learning.
Proceedings of the 2006 IEEE International Conference on Computer Vision Systems, 2006

2005
Squaring the Circles in Panoramas.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Adaptive Object Acquisition.
Proceedings of the 18th International Conference on Architecture of Computing Systems, 2005

2004
Efficient pose estimation using view-based object representations.
Mach. Vis. Appl., 2004

2003
Object Structure from Noisy Images.
Proceedings of the Signal and Image Processing (SIP 2003), 2003

2002
A view based approach to three-dimensional object perception.
PhD thesis, 2002

How to measure the pose robustness of object views.
Image Vis. Comput., 2002

Learning sparse representations of three-dimensional objects.
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001
View Reconstruction by Linear Combination of Sample Views.
Proceedings of the British Machine Vision Conference 2001, 2001

2000
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors.
Comput. Vis. Image Underst., 2000

Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition.
Proceedings of the Information Theory and the Brain, 2000

1999
Robust detection of significant points in multiframe images.
Pattern Recognit. Lett., 1999

Two Methods for Comparing Different Views of the Same Object.
Proceedings of the British Machine Vision Conference 1999, 1999

1998
Tracking of Rotating Objects.
Proceedings of the Advances in Pattern Recognition, 1998

Feature point Detection in Blurred Images.
Proceedings of the Image and Vision Computing New Zealand, International Conference, 1998

1997
Object Recognition with Banana Wavelets.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997


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