Jirí Grim

According to our database, Jirí Grim authored at least 48 papers between 1976 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial.

Jirí Grim

Int. J. Pattern Recognit. Artif. Intell., 2017

2014

Sequential pattern recognition by maximum conditional informativity.

Jirí Grim

Pattern Recognit. Lett., 2014

Mixtures of Product Components Versus Mixtures of Dependence Trees.

Jirí Grim, Pavel Pudil

Proceedings of the Computational Intelligence - International Joint Conference, 2014

Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees.

Jirí Grim, Pavel Pudil

Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

2013

On Stopping Rules in Dependency-Aware Feature Ranking.

Petr Somol, Jirí Grim, Jirí Filip, Pavel Pudil

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2011

Improving feature selection process resistance to failures caused by curse-of-dimensionality effects.

Petr Somol, Jirí Grim, Jana Novovicová, Pavel Pudil

Kybernetika, 2011

Probabilistic mixture-based image modelling.

Michal Haindl, Vojtech Havlícek, Jirí Grim

Kybernetika, 2011

Fast dependency-aware feature selection in very-high-dimensional pattern recognition.

Petr Somol, Jirí Grim, Pavel Pudil

Proceedings of the IEEE International Conference on Systems, 2011

Preprocessing of screening mammograms based on local statistical models.

Jirí Grim

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2011

2010

Colour texture representation based on multivariate Bernoulli mixtures.

Michal Haindl, Vojtech Havlícek, Jirí Grim

Proceedings of the 10th International Conference on Information Sciences, 2010

Digital Image Forgery Detection by Local Statistical Models.

Jirí Grim, Petr Somol, Pavel Pudil

Proceedings of the Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), 2010

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround.

Petr Somol, Jirí Grim, Pavel Pudil

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Computational Properties of Probabilistic Neural Networks.

Jirí Grim, Jan Hora

Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009

Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models.

Jirí Grim, Petr Somol, Michal Haindl, Jan Danes

IEEE Trans. Image Process., 2009

Criteria Ensembles in Feature Selection.

Petr Somol, Jirí Grim, Pavel Pudil

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Recognition of Properties by Probabilistic Neural Networks.

Jirí Grim, Jan Hora

Proceedings of the Artificial Neural Networks, 2009

2008

Iterative principles of recognition in probabilistic neural networks.

Jirí Grim, Jan Hora

Neural Networks, 2008

Dynamic Oscillating Search algorithm for feature selection.

Petr Somol, Jana Novovicová, Jirí Grim, Pavel Pudil

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Structural poisson mixtures for classification of documents.

Jirí Grim, Jana Novovicová, Petr Somol

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Extraction of Binary Features by Probabilistic Neural Networks.

Jirí Grim

Proceedings of the Artificial Neural Networks, 2008

Probabilistic Discrete Mixtures Colour Texture Models.

Michal Haindl, Vojtech Havlícek, Jirí Grim

Proceedings of the Progress in Pattern Recognition, 2008

2007

Neuromorphic features of probabilistic neural networks.

Jirí Grim

Kybernetika, 2007

Minimum Information Loss Cluster Analysis for Categorical Data.

Jirí Grim, Jan Hora

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Recurrent Bayesian Reasoning in Probabilistic Neural Networks.

Jirí Grim, Jan Hora

Proceedings of the Artificial Neural Networks, 2007

Texture Defect Detection.

Michal Haindl, Jirí Grim, Stanislav Mikes

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

2006

EM Cluster Analysis for Categorical Data.

Jirí Grim

Proceedings of the Structural, 2006

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures.

Jirí Grim, Michal Haindl, Petr Somol, Pavel Pudil

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Color Texture Segmentation by Decomposition of Gaussian Mixture Model.

Jirí Grim, Petr Somol, Michal Haindl, Pavel Pudil

Proceedings of the Progress in Pattern Recognition, 2006

2005

Probabilistic neural network playing and learning Tic-Tac-Toe.

Jirí Grim, Petr Somol, Pavel Pudil

Pattern Recognit. Lett., 2005

2004

On Prediction Mechanisms in Fast Branch & Bound Algorithms.

Petr Somol, Pavel Pudil, Jirí Grim

Proceedings of the Structural, 2004

A Gaussian Mixture-Based Colour Texture Model.

Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo

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

2003

Texture modelling by discrete distribution mixtures.

Jirí Grim, Michal Haindl

Comput. Stat. Data Anal., 2003

2002

Multiple Classifier Fusion in Probabilistic Neural Networks.

Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol

Pattern Anal. Appl., 2002

Boosting in Probabilistic Neural Networks.

Jirí Grim, Pavel Pudil, Petr Somol

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Information Analysis of Multiple Classifier Fusion.

Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol

Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms.

Petr Somol, Pavel Pudil, Jirí Grim

Proceedings of the Advances in Pattern Recognition, 2001

2000

Combining Multiple Classifiers in Probabilistic Neural Networks.

Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol

Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals.

Jirí Grim, Pavel Pudil, Petr Somol

Proceedings of the 15th International Conference on Pattern Recognition, 2000

1998

About the maximum information and maximum likelihood principles.

Igor Vajda, Jirí Grim

Kybernetika, 1998

Mixture of experts architectures for neural networks as a special case of conditional expectation formula.

Jirí Grim

Kybernetika, 1998

On Virtually Binary Nature of Probabilistic Neural Networks.

Jirí Grim, Pavel Pudil

Proceedings of the Advances in Pattern Recognition, 1998

Initializing normal mixtures of densities.

Jirí Grim, Jana Novovicová, Pavel Pudil, Petr Somol, Francesc J. Ferri

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1996

Maximum-likelihood design of layered neural networks.

Jirí Grim

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1986

Multimodal discrete Karhunen-Loève expansion.

Jirí Grim

Kybernetika, 1986

Multivariate statistical pattern recognition with nonreduced dimensionality.

Jirí Grim

Kybernetika, 1986

1984

On structural approximating multivariate discrete probability distributions.

Jirí Grim

Kybernetika, 1984

1982

On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions.

Jirí Grim

Kybernetika, 1982

1976

Automatic stochastic control of impulses on a three-dimensional crystallographic lattice.

Jirí Benes, Jirí Grim

Kybernetika, 1976