Aristidis Likas

Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012

Visual Tracking by Weighted Likelihood Maximization.

[BibT_eX]

[DOI]

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Fast and efficient vanishing point detection in indoor images.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Kernel-Based Weighted Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

The Mixture of Multi-kernel Relevance Vector Machines Model.

[BibT_eX]

[DOI]

Konstantinos E. Parsopoulos

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Integrating particle swarm optimization with reinforcement learning in noisy problems.

[BibT_eX]

[DOI]

Grigoris S. Piperagkas

George K. Georgoulas

Chrysostomos D. Stylios

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Visual tracking using the Earth Mover's Distance between Gaussian mixtures and Kalman filtering.

[BibT_eX]

[DOI]

Image Vis. Comput., 2011

Document clustering using synthetic cluster prototypes.

[BibT_eX]

[DOI]

Argyris Kalogeratos

Data Knowl. Eng., 2011

A split-and-merge framework for 2D shape summarization.

[BibT_eX]

[DOI]

Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.

[BibT_eX]

[DOI]

Marko Robnik-Sikonja

Igor Kononenko

Erik Strumbelj

Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010

A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Identifying touching and overlapping chromosomes using the watershed transform and gradient paths.

[BibT_eX]

[DOI]

Petros S. Karvelis

Pattern Recognit. Lett., 2010

Visual Tracking by Adaptive Kalman Filtering and Mean Shift.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Theories, 2010

Event Detection and Classification in Video Surveillance Sequences.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Theories, 2010

An Incremental Bayesian Approach for Training Multilayer Perceptrons.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

The Global Kernel k -Means Algorithm for Clustering in Feature Space.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Sparse Bayesian Modeling With Adaptive Kernel Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Scene Detection in Videos Using Shot Clustering and Sequence Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2009

Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2009

Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2009

The mixtures of Student's t-distributions as a robust framework for rigid registration.

[BibT_eX]

[DOI]

Image Vis. Comput., 2009

Probabilistic relevance feedback approach for content-based image retrieval based on gaussian mixture models.

[BibT_eX]

[DOI]

IET Image Process., 2009

Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Convex Mixture Models for Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2009

Movie segmentation into scenes and chapters using locally weighted bag of visual words.

[BibT_eX]

[DOI]

Argyris Kalogeratos

Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008

A Support Vector Machine Approach for Video Shot Detection.

[BibT_eX]

[DOI]

Proceedings of the New Directions in Intelligent Interactive Multimedia, 2008

Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior.

[BibT_eX]

[DOI]

Giannis K. Chantas

Michael A. Saunders

IEEE Trans. Image Process., 2008

The variational approximation for Bayesian inference.

[BibT_eX]

[DOI]

Dimitris G. Tzikas

Aristidis C. Likas

IEEE Signal Process. Mag., 2008

Semi-supervised and active learning with the probabilistic RBF classifier.

[BibT_eX]

[DOI]

Neurocomputing, 2008

Incremental Relevance Vector Machine with Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Theories, 2008

A Sparse Regression Mixture Model for Clustering Time-Series.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence: Theories, 2008

Video rushes summarization using spectral clustering and sequence alignment.

[BibT_eX]

[DOI]

Proceedings of the 2nd ACM Workshop on Video Summarization, 2008

The global kernel k-means clustering algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2008

Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Probabilistic Models Based on the Pi-Sigmoid Distribution.

[BibT_eX]

[DOI]

Anastasios Alivanoglou

Proceedings of the Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, 2008

2007

Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2007

Bayesian Kernel Methods for Analysis of Functional Neuroimages.

[BibT_eX]

[DOI]

Yongyi Yang

E. Zhao

Stephen C. Strother

IEEE Trans. Medical Imaging, 2007

A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2007

Large Scale Multikernel Relevance Vector Machine for Object Detection.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2007

Robust variational bayesian kernel based blind image deconvolution.

[BibT_eX]

Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

Transductive Reliability Estimation for Kernel Based Classifiers.

[BibT_eX]

[DOI]

Matjaz Kukar

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

Deep Belief Networks for Spam Filtering.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Variational Bayesian Blind Image Deconvolution with Student-T Priors.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2007

Rigid Image Registration based on Pixel Grouping.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Robust Image Registration using Mixtures of t-distributions.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Image Modeling and Segmentation Using Incremental Bayesian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007

2006

An incremental training method for the probabilistic RBF network.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior.

[BibT_eX]

[DOI]

Giannis K. Chantas

IEEE Trans. Image Process., 2006

Bayesian Feature and Model Selection for Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2006

A novel method for automated EMG decomposition and MUAP classification.

[BibT_eX]

[DOI]

Christos D. Katsis

Yorgos Goletsis

Ioannis Sarmas

Artif. Intell. Medicine, 2006

Large Scale Multikernel RVM for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

A Significance-Based Graph Model for Clustering Web Documents.

[BibT_eX]

[DOI]

Argyris Kalogeratos

Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2006

Active Learning with the Probabilistic RBF Classifier.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2006

Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function.

[BibT_eX]

[DOI]

Proceedings of the 14th European Signal Processing Conference, 2006

Image segmentation with a class-adaptive spatially constrained mixture model.

[BibT_eX]

[DOI]

Proceedings of the 14th European Signal Processing Conference, 2006

2005

A spatially constrained mixture model for image segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2005

Mixture model analysis of DNA microarray images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2005

Semantics-based information modeling for the health-care administration sector: the Citation platform.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Technol. Biomed., 2005

An ultrasound wearable system for the monitoring and acceleration of fracture healing in long bones.

[BibT_eX]

[DOI]

Vasilios C. Protopappas

Dina Baga

Athanasios A. Papachristos

Konstantinos N. Malizos

IEEE Trans. Biomed. Eng., 2005

Neural Splines: Exploiting Parallelism for Fuction Approximation Using Modular Neural Networks.

[BibT_eX]

[DOI]

Ioannis G. Tsoulos

Neural Parallel Sci. Comput., 2005

Motif-Based Protein Sequence Classification Using Neural Networks.

[BibT_eX]

[DOI]

Athanasios N. Papadopoulos

J. Comput. Biol., 2005

Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2005

Maximum a posteriori image restoration based on a new directional continuous edge image prior.

[BibT_eX]

[DOI]

John Chantas

Proceedings of the 2005 International Conference on Image Processing, 2005

An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval.

[BibT_eX]

[DOI]

Giorgos Sfikas

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

A variational approach for Bayesian blind image deconvolution.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2004

Automated ischemic beat classification using genetic algorithms and multicriteria decision analysis.

[BibT_eX]

[DOI]

Yorgos Goletsis

Costas Papaloukas

Dimitrios S. Frossyniotis

Lampros K. Michalis

IEEE Trans. Biomed. Eng., 2004

A clustering method based on boosting.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2004

Efficient Training Algorithms for the Probabilistic RBF Network.

[BibT_eX]

[DOI]

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Incremental Mixture Learning for Clustering Discrete Data.

[BibT_eX]

[DOI]

Proceedings of the Methods and Applications of Artificial Intelligence, 2004

Relevance Vector Machine Analysis of Functional Neuroimages.

[BibT_eX]

[DOI]

Ana S. Lukic

Miles N. Wernick

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Probabilistic Shape-Based Image Indexing and Retrieval.

[BibT_eX]

[DOI]

Konstantinos Valasoulis

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Non Stationary Bayesian Image Restoration.

[BibT_eX]

[DOI]

Giannis K. Chantas

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Bayesian regression of functional neuroimages.

[BibT_eX]

[DOI]

Dimitris G. Tzikas

Ana S. Lukic

Miles N. Wernick

Proceedings of the 2004 12th European Signal Processing Conference, 2004

Mixture model based image segmentation with spatial constraints.

[BibT_eX]

[DOI]

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

The global k-means clustering algorithm.

[BibT_eX]

[DOI]

Nikos Vlassis

Jakob J. Verbeek

Pattern Recognit., 2003

Class Conditional Density Estimation Using Mixtures with Constrained Component Sharing.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

A divide-and-conquer method for multi-net classifiers.

[BibT_eX]

[DOI]

Dimitrios Frosyniotis

Pattern Anal. Appl., 2003

A Portable Decision Making Tool for Health Professionals Based on Neural Networks.

[BibT_eX]

[DOI]

Fotis Vartziotis

Health Informatics J., 2003

CITATION: Smart Administrations in the Healthcare Sector.

[BibT_eX]

[DOI]

Health Informatics J., 2003

Greedy mixture learning for multiple motif discovery in biological sequences.

[BibT_eX]

[DOI]

Bioinform., 2003

A variational method for Bayesian blind image deconvolution.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

Protein Sequence Classification Using Probabilistic Motifs and Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002

A Greedy EM Algorithm for Gaussian Mixture Learning.

[BibT_eX]

[DOI]

Nikos Vlassis

Neural Process. Lett., 2002

Mixture of Experts Classification Using a Hierarchical Mixture Model.

[BibT_eX]

[DOI]

Neural Comput., 2002

An ischemia detection method based on artificial neural networks.

[BibT_eX]

[DOI]

Costas Papaloukas

Athanasios N. Papadopoulos

Lampros K. Michalis

Artif. Intell. Medicine, 2002

An automatic microcalcification detection system based on a hybrid neural network classifier.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2002

Piecewise Neural Networks for Function Approximation, Cast in a Form Suitable for Parallel Computation.

[BibT_eX]

[DOI]

Ioannis G. Tsoulos

Proceedings of the Methods and Applications of Artificial Intelligence, 2002

A Bayesian Regularization Method for the Probabilistic RBF Network.

[BibT_eX]

[DOI]

Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Solving differential equations with neural networks: implementation on a DSP platform.

[BibT_eX]

[DOI]

Konstantinos Valasoulis

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

The "Citation" Platform: Semantics-Based Modeling & Retrieval of Administrative Information.

[BibT_eX]

Proceedings of the IADIS International Conference WWW/Internet 2002, 2002

CITATION - Citizen Information Tool in Smart Administration.

[BibT_eX]

[DOI]

Proceedings of the Electronic Government, First International Conference, 2002

2001

Shared kernel models for class conditional density estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

Reinforcement Learning Using the Stochastic Fuzzy Min-Max Neural Network.

[BibT_eX]

[DOI]

Neural Process. Lett., 2001

2000

Neural-network methods for boundary value problems with irregular boundaries.

[BibT_eX]

[DOI]

Dimitris G. Papageorgiou

IEEE Trans. Neural Networks Learn. Syst., 2000

Training the random neural network using quasi-Newton methods.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2000

A robust knowledge-based technique for ischemia detection in noisy ECGs.

[BibT_eX]

[DOI]

Costas Papaloukas

Athanasios P. Liavas

Lampros K. Michalis

Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

A Probabilistic RBF Network for Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999

A kurtosis-based dynamic approach to Gaussian mixture modeling.

[BibT_eX]

[DOI]

Nikos Vlassis

IEEE Trans. Syst. Man Cybern. Part A, 1999

Training Reinforcement Neurocontrollers Using the Polytope Algorithm.

[BibT_eX]

[DOI]

Neural Process. Lett., 1999

A Reinforcement Learning Approach to Online Clustering.

[BibT_eX]

[DOI]

Neural Comput., 1999

1998

Artificial neural networks for solving ordinary and partial differential equations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1998

A hybrid neural optimization scheme based on parallel updates.

[BibT_eX]

[DOI]

Int. J. Comput. Math., 1998

Neural network training and simulation using a multidimensional optimization system.

[BibT_eX]

[DOI]

Dimitris A. Karras

Int. J. Comput. Math., 1998

Improved exploration in Hopfield network state-space through parameter perturbation driven by simulated annealing.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 1998

Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains

[BibT_eX]

[DOI]

Dimitris G. Papageorgiou

CoRR, 1998

1997

A Connectionist Approach for Solving Large Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Appl. Intell., 1997

A Fuzzy Neural Network Approach to Classification Based on Proximity Characteristics of Patterns.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

1996

Group updates and multiscaling: an efficient neural network approach to combinatorial optimization.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 1996

A Reinforcement Learning Approach Based on the Fuzzy Min-Max Neural Network.

[BibT_eX]

[DOI]

Neural Process. Lett., 1996

High Capacity Associative Memory Based on The Random Neural Network Model.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 1996

1995

A parallelizable operation scheme of the Boltzmann machine optimizer based on group updates.

[BibT_eX]

[DOI]

Neural Parallel Sci. Comput., 1995

Discrete Optimisation Based on the Combined Use of Reinforcement and Constraint Satisfaction Schemes.

[BibT_eX]

[DOI]

D. Kontoravdis

Neural Comput. Appl., 1995

A Parallel Algorithm for the Minimum Weighted Vertex Cover Problem.

[BibT_eX]

[DOI]

Inf. Process. Lett., 1995

Parallel Recombinative Reinforcement Learning (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the Machine Learning: ECML-95, 1995

1993

Embedding knowledge into stochastic learning automata for fast solution of binary constraint satisfaction problems.

[BibT_eX]

[DOI]

D. Kontoravdis

Proceedings of the 1st European Symposium on Artificial Neural Networks, 1993

1992

Pictorial Information Retrieval Using the Random Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 1992

Collision-Free Movement of an Autonomous Vehicle Using Reinforcement Learning.

[BibT_eX]

D. Kontoravdis