Gabriele Peters

58 papers A* 1A 4B 3C 12Misc 2Journal 11Unranked 23

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments. CoRR Patrick Gelhausen, M. Fischer, Gabriele Peters
2020	C	`conf`	On the Robustness of Convolutional Neural Networks Regarding Transformed Input Images. IJCCI Frederik Timme, Jochen Kerdels, Gabriele Peters
2019	C	`conf`	Challenging the Intuition about Memory and Computation in Theories of Cognition. IJCCI Jochen Kerdels, Gabriele Peters
2018	C	`conf`	A Grid Cell Inspired Model of Cortical Column Function. IJCCI Jochen Kerdels, Gabriele Peters
2018	C	`conf`	Self-Learning 3D Object Classification. ICPRAM Jens Garstka, Gabriele Peters
2017	C	`conf`	Entorhinal Grid Cells May Facilitate Pattern Separation in the Hippocampus. IJCCI Jochen Kerdels, Gabriele Peters
2016	—	`conf`	A Sparse Representation of High-Dimensional Input Spaces Based on an Augmented Growing Neural Gas. GCAI Jochen Kerdels, Gabriele Peters
2016	—	`conf`	Evaluation of Local 3-D Point Cloud Descriptors in Terms of Suitability for Object Classification. ICINCO (2) Jens Garstka, Gabriele Peters
2016	—	`conf`	Modelling the Grid-like Encoding of Visual Space in Primates. IJCCI (NCTA) Jochen Kerdels, Gabriele Peters
2016	—	`conf`	Noise Resilience of an RGNG-based Grid Cell Model. IJCCI (NCTA) Jochen Kerdels, Gabriele Peters
2015	—	`conf`	A New View on Grid Cells Beyond the Cognitive Map Hypothesis. AGI Jochen Kerdels, Gabriele Peters
2015	—	`conf`	Adaptive 3-D Object Classification with Reinforcement Learning. ICINCO (2) Jens Garstka, Gabriele Peters
2015	J	`jnl`	Analysis of high-dimensional data using local input space histograms. Neurocomputing Jochen Kerdels, Gabriele Peters
2015	—	`conf`	Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds. ICINCO (2) Jens Garstka, Gabriele Peters
2015	—	`conf`	Highly Parallelizable Algorithm for Keypoint Detection in 3-D Point Clouds. ICINCO (Selected Papers) Jens Garstka, Gabriele Peters
2014	—	`conf`	Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal. Eurographics (Posters) Jens Garstka, Gabriele Peters
2014	B	`conf`	Supporting GNG-based clustering with local input space histograms. ESANN Jochen Kerdels, Gabriele Peters
2013	C	`conf`	A Computational Model of Grid Cells based on Dendritic Self-organized Learning. IJCCI Jochen Kerdels, Gabriele Peters
2013	—	`conf`	Exploratory Modeling of Complex Information Processing Systems. ICINCO (1) Jochen Kerdels, Gabriele Peters
2013	J	`jnl`	Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning. Neural Process. Lett. Klaus Häming, Gabriele Peters
2012	—	`conf`	Making a Reinforcement Learning Agent Believe. ICANN (1) Klaus Häming, Gabriele Peters
2012	C	`conf`	Visualization of processes in self-learning systems. PST Gabriele Peters, Kerstin Bunte, Marc Strickert, Michael Biehl, Thomas Villmann
2011	—	`conf`	A Hybrid Learning System for Object Recognition. ICINCO (2) Klaus Häming, Gabriele Peters
2011	J	`jnl`	Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists. Int. J. Creative Interfaces Comput. Graph. Gabriele Peters
2011	—	`conf`	Improved Revision of Ranking Functions for the Generalization of Belief in the Context of Unobserved Variables. IJCCI (NCTA) Klaus Häming, Gabriele Peters
2011	Misc	`conf`	Ranking Functions in Large State Spaces. AIAI Klaus Häming, Gabriele Peters
2011	—	`conf`	Six Necessary Qualities of Self-learning Systems - A Short Brainstorming. IJCCI (NCTA) Gabriele Peters
2010	—	`conf`	An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic. ICANN (2) Klaus Häming, Gabriele Peters
2010	J	`jnl`	The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences. Kybernetika Klaus Häming, Gabriele Peters
2009	C	`conf`	Relational Reinforcement Learning Applied to Appearance-Based Object Recognition. EANN Klaus Häming, Gabriele Peters
2009	—	`conf`	Take Three Snapshots - A Tool for Fast Freehand Acquisition of 3D Objects. INTERACT (2) Gabriele Peters, Klaus Häming
2008	A	`conf`	Belief revision with reinforcement learning for interactive object recognition. ECAI Thomas Leopold, Gabriele Kern-Isberner, Gabriele Peters
2008	A	`conf`	Combining Reinforcement Learning and Belief Revision - A Learning System for Active Vision. BMVC Thomas Leopold, Gabriele Kern-Isberner, Gabriele Peters
2008	—	`conf`	Dark days - New York. SIGGRAPH Art Gallery Gabriele Peters
2007	—	`conf`	A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces. ICANN (2) Jochen Kerdels, Gabriele Peters
2007	C	`conf`	Aesthetic Primitives of Images for Visualization. IV Gabriele Peters
2007	J	`jnl`	Dynamic learning of action patterns for object acquisition. Int. J. Intell. Syst. Technol. Appl. Gabriele Peters, Thomas Leopold
2007	—	`conf`	Extension of the generalized image rectification - catching the infinity cases. ICINCO-RA (2) Klaus Häming, Gabriele Peters
2007	C	`conf`	Image Segmentation Based on Height Maps. CAIP Gabriele Peters, Jochen Kerdels
2006	C	`conf`	A Vision System for Interactive Object Learning. ICVS Gabriele Peters
2005	—	`conf`	Adaptive Object Acquisition. ARCS Workshops Gabriele Peters, Claus-Peter Alberts, Markus Briese, Sebastian Entian, Christian Gabriel, Zhiqiang Gao, Alexander Klandt, Thomas Leopold, Jan Schultze, Jeremias Spiegel, Jürgen Thyen, Martina Vaupel, Peter Voß, Qing Zhu
2005	—	`conf`	Dynamic Learning of Action Patterns for Object Acquisition. ALaRT Gabriele Peters, Thomas Leopold
2005	A*	`conf`	Squaring the Circles in Panoramas. ICCV Lihi Zelnik-Manor, Gabriele Peters, Pietro Perona
2004	J	`jnl`	Efficient pose estimation using view-based object representations. Mach. Vis. Appl. Gabriele Peters
2003	C	`conf`	Efficient Pose Estimation Using View-Based Object Representations. ICVS Gabriele Peters
2003	—	`conf`	Object Structure from Noisy Images. SIP Gabriele Peters
2002	—	`—`	A view based approach to three-dimensional object perception. Gabriele Peters
2002	J	`jnl`	How to measure the pose robustness of object views. Image Vis. Comput. Gabriele Peters, Barbara Zitová, Christoph von der Malsburg
2002	J	`jnl`	How to measure the pose robustness of object views. Image Vis. Comput. Gabriele Peters, Barbara Zitová, Christoph von der Malsburg
2002	B	`conf`	Learning sparse representations of three-dimensional objects. ESANN Gabriele Peters, Christoph von der Malsburg
2001	A	`conf`	View Reconstruction by Linear Combination of Sample Views. BMVC Gabriele Peters, Christoph von der Malsburg
2000	J	`jnl`	ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors. Comput. Vis. Image Underst. Norbert Krüger, Gabriele Peters
2000	—	`ch.`	Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition. Information Theory and the Brain Norbert Krüger, Michael Pötzsch, Gabriele Peters
1999	J	`jnl`	Robust detection of significant points in multiframe images. Pattern Recognit. Lett. Barbara Zitová, Jaroslav Kautsky, Gabriele Peters, Jan Flusser
1999	A	`conf`	Two Methods for Comparing Different Views of the Same Object. BMVC Gabriele Peters, Barbara Zitová, Christoph von der Malsburg
1998	Misc	`conf`	Feature point Detection in Blurred Images. IVCNZ Jaroslav Kautsky, Barbara Zitová, Jan Flusser, Gabriele Peters
1998	—	`conf`	Tracking of Rotating Objects. SSPR/SPR Gabriele Peters, Christian Eckes, Christoph von der Malsburg
1997	B	`conf`	Object Recognition with Banana Wavelets. ESANN Norbert Krüger, Gabriele Peters