Automatic stochastic control of impulses on a three-dimensional crystallographic lattice. - Jirí Benes; Jirí Grim (Kybernetika, 1976)

On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions. - Jirí Grim (Kybernetika, 1982)

On structural approximating multivariate discrete probability distributions. - Jirí Grim (Kybernetika, 1984)

Multivariate statistical pattern recognition with nonreduced dimensionality. - Jirí Grim (Kybernetika, 1986)

Multimodal discrete Karhunen-Loève expansion. - Jirí Grim (Kybernetika, 1986)

Maximum-likelihood design of layered neural networks. - Jirí Grim (ICPR, 1996)

Initializing normal mixtures of densities. - Jirí Grim; Jana Novovicová; Pavel Pudil; Petr Somol; Francesc J. Ferri (ICPR, 1998)

On Virtually Binary Nature of Probabilistic Neural Networks. - Jirí Grim; Pavel Pudil (SSPR/SPR, 1998)

Mixture of experts architectures for neural networks as a special case of conditional expectation formula. - Jirí Grim (Kybernetika, 1998)

About the maximum information and maximum likelihood principles. - Igor Vajda; Jirí Grim (Kybernetika, 1998)

Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. - Jirí Grim; Pavel Pudil; Petr Somol (ICPR, 2000)

Combining Multiple Classifiers in Probabilistic Neural Networks. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Multiple Classifier Systems, 2000)

Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. - Petr Somol; Pavel Pudil; Jirí Grim (ICAPR, 2001)

Information Analysis of Multiple Classifier Fusion. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Multiple Classifier Systems, 2001)

Boosting in Probabilistic Neural Networks. - Jirí Grim; Pavel Pudil; Petr Somol (ICPR (2), 2002)

Multiple Classifier Fusion in Probabilistic Neural Networks. - Jirí Grim; Josef Kittler; Pavel Pudil; Petr Somol (Pattern Anal. Appl., 2002)

Texture modelling by discrete distribution mixtures. - Jirí Grim; Michal Haindl (Comput. Stat. Data Anal., 2003)

A Gaussian Mixture-Based Colour Texture Model. - Michal Haindl; Jirí Grim; Petr Somol; Pavel Pudil; Mineichi Kudo (ICPR (3), 2004)

On Prediction Mechanisms in Fast Branch & Bound Algorithms. - Petr Somol; Pavel Pudil; Jirí Grim (SSPR/SPR, 2004)

Probabilistic neural network playing and learning Tic-Tac-Toe. - Jirí Grim; Petr Somol; Pavel Pudil (Pattern Recognit. Lett., 2005)

Color Texture Segmentation by Decomposition of Gaussian Mixture Model. - Jirí Grim; Petr Somol; Michal Haindl; Pavel Pudil (CIARP, 2006)

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. - Jirí Grim; Michal Haindl; Petr Somol; Pavel Pudil (ICPR (2), 2006)

EM Cluster Analysis for Categorical Data. - Jirí Grim (SSPR/SPR, 2006)

Texture Defect Detection. - Michal Haindl; Jirí Grim; Stanislav Mikes (CAIP, 2007)

Recurrent Bayesian Reasoning in Probabilistic Neural Networks. - Jirí Grim; Jan Hora (ICANN (1), 2007)

Minimum Information Loss Cluster Analysis for Categorical Data. - Jirí Grim; Jan Hora (MLDM, 2007)

Neuromorphic features of probabilistic neural networks. - Jirí Grim (Kybernetika, 2007)

Probabilistic Discrete Mixtures Colour Texture Models. - Michal Haindl; Vojtech Havlícek; Jirí Grim (CIARP, 2008)

Extraction of Binary Features by Probabilistic Neural Networks. - Jirí Grim (ICANN (2), 2008)

Structural poisson mixtures for classification of documents. - Jirí Grim; Jana Novovicová; Petr Somol (ICPR, 2008)

Dynamic Oscillating Search algorithm for feature selection. - Petr Somol; Jana Novovicová; Jirí Grim; Pavel Pudil (ICPR, 2008)

Iterative principles of recognition in probabilistic neural networks. - Jirí Grim; Jan Hora (Neural Networks, 2008)

Recognition of Properties by Probabilistic Neural Networks. - Jirí Grim; Jan Hora (ICANN (2), 2009)

Criteria Ensembles in Feature Selection. - Petr Somol; Jirí Grim; Pavel Pudil (MCS, 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)

Computational Properties of Probabilistic Neural Networks. - Jirí Grim; Jan Hora (ICANN (3), 2010)

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. - Petr Somol; Jirí Grim; Pavel Pudil (ICPR, 2010)

Digital Image Forgery Detection by Local Statistical Models. - Jirí Grim; Petr Somol; Pavel Pudil (IIH-MSP, 2010)

Colour texture representation based on multivariate Bernoulli mixtures. - Michal Haindl; Vojtech Havlícek; Jirí Grim (ISSPA, 2010)

Preprocessing of screening mammograms based on local statistical models. - Jirí Grim (ISABEL, 2011)

Fast dependency-aware feature selection in very-high-dimensional pattern recognition. - Petr Somol; Jirí Grim; Pavel Pudil (SMC, 2011)

Probabilistic mixture-based image modelling. - Michal Haindl; Vojtech Havlícek; Jirí Grim (Kybernetika, 2011)

Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. - Petr Somol; Jirí Grim; Jana Novovicová; Pavel Pudil (Kybernetika, 2011)

On Stopping Rules in Dependency-Aware Feature Ranking. - Petr Somol; Jirí Grim; Jirí Filip; Pavel Pudil (CIARP (1), 2013)

Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. - Jirí Grim; Pavel Pudil (IJCCI (NCTA), 2014)

Mixtures of Product Components Versus Mixtures of Dependence Trees. - Jirí Grim; Pavel Pudil (IJCCI (Selected Papers), 2014)

Sequential pattern recognition by maximum conditional informativity. - Jirí Grim (Pattern Recognit. Lett., 2014)

Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial. - Jirí Grim (Int. J. Pattern Recognit. Artif. Intell., 2017)