András Lörincz

According to our database1, András Lörincz authored at least 144 papers between 1993 and 2018.

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

Timeline

Legend:

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Bibliography

2018
3D Human Pose Estimation with Siamese Equivariant Embedding.
CoRR, 2018

Towards reasoning based representations: Deep Consistence Seeking Machine.
Cognitive Systems Research, 2018

2017
Fine-tuning deep CNN models on specific MS COCO categories.
CoRR, 2017

Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Cognitive Deep Machine Can Train Itself.
CoRR, 2016

Personalization of Gaze Direction Estimation with Deep Learning.
Proceedings of the KI 2016: Advances in Artificial Intelligence, 2016

Model Based Augmentation and Testing of an Annotated Hand Pose Dataset.
Proceedings of the KI 2016: Advances in Artificial Intelligence, 2016

Deep Learning for Facial Action Unit Detection Under Large Head Poses.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Estimating Cartesian Compression via Deep Learning.
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015
Revolution in Health and Wellbeing - Machine Learning, Crowdsourcing and Self-annotation.
KI, 2015

Cost and risk sensitive decision making and control for highway overtaking maneuver.
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

Maintain and Improve Mental Health by Smart Virtual Reality Serious Games.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015

Robust Detection of Anomalies via Sparse Methods.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Enhancing Crowdsourced Applications via Incorporated Practice Sessions.
Proceedings of the Second International Workshop on Gamification for Information Retrieval co-located with the 37th European Conference on Information Retrieval (ECIR 2015), 2015

The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification.
Proceedings of the Artificial General Intelligence, 2015

2014
On-body multi-input indoor localization for dynamic emergency scenarios: fusion of magnetic tracking and optical character recognition with mixed-reality display.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

Towards a Smart Wearable Tool to Enable People with SSPI to Communicate by Sentence Fragments.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2014

Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity.
Proceedings of the Computer Vision - ECCV 2014, 2014

The Medical Cyber-physical Systems Activity at EIT: A Look under the Hood.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos.
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis.
Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2013
Emotional Expression Classification using Time-Series Kernels.
CoRR, 2013

Explaining Unintelligible Words by Means of their Context.
Proceedings of the ICPRAM 2013, 2013

Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Emotional Expression Classification Using Time-Series Kernels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Separation theorem for independent subspace analysis and its consequences.
Pattern Recognition, 2012

Efficient Sparse Coding in Early Sensory Processing: Lessons from Signal Recovery.
PLoS Computational Biology, 2012

3D shape estimation in video sequences provides high precision evaluation of facial expressions.
Image Vision Comput., 2012

Sparse and silent coding in neural circuits.
Neurocomputing, 2012

Distributed high dimensional information theoretical image registration via random projections.
Digital Signal Processing, 2012

Distributed High Dimensional Information Theoretical Image Registration via Random Projections
CoRR, 2012

Automated Word Puzzle Generation via Topic Dictionaries
CoRR, 2012

Collaborative Filtering via Group-Structured Dictionary Learning
CoRR, 2012

Collaborative Filtering via Group-Structured Dictionary Learning.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
Decision Making Agent Searching for Markov Models in Near-Deterministic World
CoRR, 2011

High quality facial expression recognition in video streams using shape related information only.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Online group-structured dictionary learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

AGI Architecture Measures Human Parameters and Optimizes Human Performance.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

Learning the States: A Brain Inspired Neural Model.
Proceedings of the Artificial General Intelligence - 4th International Conference, 2011

2010
Auto-regressive independent process analysis without combinatorial efforts.
Pattern Anal. Appl., 2010

Sparse and silent coding in neural circuits
CoRR, 2010

2009
Here and now: How time segments may become events in the hippocampus.
Neural Networks, 2009

Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques.
Journal of Machine Learning Research, 2009

Dynamically formed Clusters of Agents in Eco-Grammar Systems.
Int. J. Found. Comput. Sci., 2009

Optimistic Initialization and Greediness Lead to Polynomial Time Learning in Factored MDPs - Extended Version
CoRR, 2009

Complex Independent Process Analysis.
Acta Cybern., 2009

Controlled Complete ARMA Independent Process Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2009

Autoregressive model of the hippocampal representation of events.
Proceedings of the International Joint Conference on Neural Networks, 2009

Fast Parallel Estimation of High Dimensional Information Theoretical Quantities with Low Dimensional Random Projection Ensembles.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Optimistic initialization and greediness lead to polynomial time learning in factored MDPs.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Multiagent Reinforcement Learning Model for the Emergence of Common Property and Transhumance in Sub-Saharan Africa.
Proceedings of the Adaptive and Learning Agents, Second Workshop, 2009

2008
Editorial.
Theory in Biosciences, 2008

Spike-based cross-entropy method for reconstruction.
Neurocomputing, 2008

The many faces of optimism - Extended version
CoRR, 2008

Factored Value Iteration Converges
CoRR, 2008

Online variants of the cross-entropy method
CoRR, 2008

D-optimal Bayesian Interrogation for Parameter and Noise Identification of Recurrent Neural Networks
CoRR, 2008

Peer-to-Peer Networks: A Language Theoretic Approach.
Computing and Informatics, 2008

Factored Value Iteration Converges.
Acta Cybern., 2008

InfoMax Bayesian Learning of the Furuta Pendulum.
Acta Cybern., 2008

Factored Temporal Difference Learning in the New Ties Environment.
Acta Cybern., 2008

The many faces of optimism: a unifying approach.
Proceedings of the Machine Learning, 2008

Hippocampal Formation Breaks Combinatorial Explosion for Reinforcement Learning: A Conjecture.
Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2007
Undercomplete Blind Subspace Deconvolution.
Journal of Machine Learning Research, 2007

Learning to Play Using Low-Complexity Rule-Based Policies: Illustrations through Ms. Pac-Man.
J. Artif. Intell. Res., 2007

Simple conditions for forming triangular grids.
Neurocomputing, 2007

Neurally plausible, non-combinatorial iterative independent process analysis.
Neurocomputing, 2007

Independent Subspace Analysis can Cope with the 'Curse of Dimensionality'.
Acta Cybern., 2007

Post Nonlinear Independent Subspace Analysis.
Proceedings of the Artificial Neural Networks, 2007

Co-learning and the Development of Communication.
Proceedings of the Artificial Neural Networks, 2007

Independent Process Analysis Without a Priori Dimensional Information.
Proceedings of the Independent Component Analysis and Signal Separation, 2007

Undercomplete Blind Subspace Deconvolution Via Linear Prediction.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Computer study of the evolution of 'news foragers' on the Internet.
Proceedings of the Swarm Intelligence in Data Mining, 2006

Learning Tetris Using the Noisy Cross-Entropy Method.
Neural Computation, 2006

Emerging Artificial Societies Through Learning.
J. Artificial Societies and Social Simulation, 2006

A framework for anonymous but accountable self-organizing communities.
Information & Software Technology, 2006

Independent component analysis forms place cells in realistic robot simulations.
Neurocomputing, 2006

PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities.
Neurocomputing, 2006

Non-combinatorial estimation of independent autoregressive sources.
Neurocomputing, 2006

Low-complexity modular policies: learning to play Pac-Man and a new framework beyond MDPs
CoRR, 2006

ε-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks.
Acta Cybern., 2006

Reinforcement Learning with Echo State Networks.
Proceedings of the Artificial Neural Networks, 2006

Critical Echo State Networks.
Proceedings of the Artificial Neural Networks, 2006

Cross-Entropy Optimization for Independent Process Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005
Neural Kalman filter.
Neurocomputing, 2005

Attentional filtering in neocortical areas: a top-down model.
Neurocomputing, 2005

Adaptive Highlighting Of Links To Assist Surfing On The Internet.
International Journal of Information Technology and Decision Making, 2005

Selection in Scale-Free Small World
CoRR, 2005

Corpus-Based Neural Network Method for Explaining Unknown Words by WordNet Senses.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Independent subspace analysis using geodesic spanning trees.
Proceedings of the Machine Learning, 2005

Independent Subspace Analysis Using k-Nearest Neighborhood Distances.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Independent Subspace Analysis on Innovations.
Proceedings of the Machine Learning: ECML 2005, 2005

Selection in Scale-Free Small World.
Proceedings of the Multi-Agent Systems and Applications IV, 2005

Assisting Robotic Personal Agent and Cooperating Alternative Input Devices for Severely Disabled Children.
Proceedings of the Multi-Agent Systems and Applications IV, 2005

2004
Improving recognition accuracy on structured documents by learning structural patterns.
Pattern Anal. Appl., 2004

Kalman Filter Control Embedded into the Reinforcement Learning Framework.
Neural Computation, 2004

Intelligent encoding and economical communication in the visual stream
CoRR, 2004

L1 regularization is better than L2 for learning and predicting chaotic systems
CoRR, 2004

Applying Policy Iteration for Training Recurrent Neural Networks
CoRR, 2004

2003
Robust hierarchical image representation using non-negative matrix factorisation with sparse code shrinkage preprocessing.
Pattern Anal. Appl., 2003

Cost Component Analysis.
Int. J. Neural Syst., 2003

Controlled hierarchical filtering: Model of neocortical sensory processing
CoRR, 2003

Reinforcement Learning with Linear Function Approximation and LQ control Converges
CoRR, 2003

Kalman filter control in the reinforcement learning framework
CoRR, 2003

Centralized reward system gives rise to fast and efficient work sharing for intelligent Internet agents lacking direct communication
CoRR, 2003

Kalman-filtering using local interactions
CoRR, 2003

Temporal plannability by variance of the episode length
CoRR, 2003

Event-learning and robust policy heuristics.
Cognitive Systems Research, 2003

2002
MDPs: Learning in Varying Environments.
Journal of Machine Learning Research, 2002

The Mystery of Structure and Function of Sensory Processing Areas of the Neocortex: A Resolution.
Journal of Computational Neuroscience, 2002

Relating Priming and Repetition Suppression.
Int. J. Neural Syst., 2002

Intelligent High-Performance Crawlers Used to Reveal Topic-Specific Structure of WWW.
Int. J. Found. Comput. Sci., 2002

Searching for Plannable Domains can Speed up Reinforcement Learning
CoRR, 2002

Fast adapting value estimation-based hybrid architecture for searching the world-wide web.
Appl. Soft Comput., 2002

Value Prediction in HLS Allocation Problems Using Intellectual Properties.
Applied Artificial Intelligence, 2002

Anonymity and accountability in self-organizing electronic communities.
Proceedings of the 2002 ACM Workshop on Privacy in the Electronic Society, 2002

Reinforcement Learning Integrated with a Non-Markovian Controller.
Proceedings of the 15th Eureopean Conference on Artificial Intelligence, 2002

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

2001
Independent Component Analysis of Temporal Sequences Subject to Constraints by Lateral Geniculate Nucleus Inputs Yields All the Three Major Cell Types of the Primary Visual Cortex.
Journal of Computational Neuroscience, 2001

Independent component analysis of temporal sequences forms place cells.
Neurocomputing, 2001

Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences.
Neurocomputing, 2001

Ockham's Razor Modeling of the Matrisome Channels of the Basal Ganglia Thalamocortical Loops.
Int. J. Neural Syst., 2001

Value Prediction in Engineering Applications.
Proceedings of the Engineering of Intelligent Systems, 2001

2000
Modular Reinforcement Learning: A Case Study in a Robot Domain.
Acta Cybern., 2000

1999
Parallel and robust skeletonization built on self-organizing elements.
Neural Networks, 1999

Computational model of the entorhinal-hippocampal region derived from a single principle.
Proceedings of the International Joint Conference Neural Networks, 1999

Generative network explains category formation in Alzheimer patients.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Module-Based Reinforcement Learning: Experiments with a Real Robot.
Machine Learning, 1998

An integrated architecture for motion-control and path-planning.
J. Field Robotics, 1998

Forming independent components via temporal locking of reconstruction architectures: a functional model of the hippocampus.
Biological Cybernetics, 1998

Module-Based Reinforcement Learning: Experiments with a Real Robot.
Auton. Robots, 1998

1997
Neurocontroller using dynamic state feedback for compensatory control.
Neural Networks, 1997

Static and Dynamic State Feedback Control Model of Basal Ganglia-Thalamocortical Loops.
Int. J. Neural Syst., 1997

A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation.
Proceedings of the Artificial Neural Networks, 1997

Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction.
Proceedings of the Artificial Neural Networks, 1997

Module Based Reinforcement Learning: An Application to a Real Robot.
Proceedings of the Learning Robots, 6th European Workshop, 1997

1996
Approximate geometry representations and sensory fusion.
Neurocomputing, 1996

Self-Organizing Multi-Resolution Grid for Motion Planning and Control.
Int. J. Neural Syst., 1996

Self-organized formation of a set of scaling filters and their neighbouring connections.
Biological Cybernetics, 1996

Stabilizing Competitive Learning During On-Line Training with an Anti-Hebbian Weight Modulation.
Proceedings of the Artificial Neural Networks, 1996

Inverse Dynamics Controllers for Robust Control: Consequences for Neurocontrollers.
Proceedings of the Artificial Neural Networks, 1996

1995
Genetic algorithm with alphabet optimization.
Biological Cybernetics, 1995

1994
Topology Learning Solved by Extended Objects: A Neural Network Model.
Neural Computation, 1994

1993
Behavior of an Adaptive Self-organizing Autonomous Agent Working with Cues and Competing Concepts.
Adaptive Behaviour, 1993


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