Jirí Grim

Publication Activity (10 Years)

Years Active: 1976-2017
Publications (10 Years): 1

Top Topics

Mixtures Of Gaussians

Pattern Recognition

Top Venues

Int. J. Pattern Recognit. Artif. Intell.

IJCCI (Selected Papers)

Pattern Recognit. Lett.

Publications

Jirí Grim
Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial. Int. J. Pattern Recognit. Artif. Intell. 31 (9) (2017)
Jirí Grim, Pavel Pudil
Mixtures of Product Components Versus Mixtures of Dependence Trees. IJCCI (Selected Papers) (2014)
Jirí Grim
Sequential pattern recognition by maximum conditional informativity. Pattern Recognit. Lett. 45 (2014)
Jirí Grim, Pavel Pudil
Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. IJCCI (NCTA) (2014)
Petr Somol, Jirí Grim, Jirí Filip, Pavel Pudil
On Stopping Rules in Dependency-Aware Feature Ranking. CIARP (1) (2013)
Petr Somol, Jirí Grim, Pavel Pudil
Fast dependency-aware feature selection in very-high-dimensional pattern recognition. SMC (2011)
Jirí Grim
Preprocessing of screening mammograms based on local statistical models. ISABEL (2011)
Petr Somol, Jirí Grim, Jana Novovicová, Pavel Pudil
Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. Kybernetika 47 (3) (2011)
Michal Haindl, Vojtech Havlícek, Jirí Grim
Probabilistic mixture-based image modelling. Kybernetika 47 (3) (2011)
Jirí Grim, Petr Somol, Pavel Pudil
Digital Image Forgery Detection by Local Statistical Models. IIH-MSP (2010)
Petr Somol, Jirí Grim, Pavel Pudil
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround. ICPR (2010)
Jirí Grim, Jan Hora
Computational Properties of Probabilistic Neural Networks. ICANN (3) (2010)
Michal Haindl, Vojtech Havlícek, Jirí Grim
Colour texture representation based on multivariate Bernoulli mixtures. ISSPA (2010)
Jirí Grim, Jan Hora
Recognition of Properties by Probabilistic Neural Networks. ICANN (2) (2009)
Petr Somol, Jirí Grim, Pavel Pudil
Criteria Ensembles in Feature Selection. MCS (2009)
Jirí Grim, Petr Somol, Michal Haindl, Jan Danes
Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models. IEEE Trans. Image Process. 18 (4) (2009)
Jirí Grim, Jana Novovicová, Petr Somol
Structural poisson mixtures for classification of documents. ICPR (2008)
Petr Somol, Jana Novovicová, Jirí Grim, Pavel Pudil
Dynamic Oscillating Search algorithm for feature selection. ICPR (2008)
Michal Haindl, Vojtech Havlícek, Jirí Grim
Probabilistic Discrete Mixtures Colour Texture Models. CIARP (2008)
Jirí Grim, Jan Hora
Iterative principles of recognition in probabilistic neural networks. Neural Networks 21 (6) (2008)
Jirí Grim
Extraction of Binary Features by Probabilistic Neural Networks. ICANN (2) (2008)
Michal Haindl, Jirí Grim, Stanislav Mikes
Texture Defect Detection. CAIP (2007)
Jirí Grim, Jan Hora
Minimum Information Loss Cluster Analysis for Categorical Data. MLDM (2007)
Jirí Grim
Neuromorphic features of probabilistic neural networks. Kybernetika 43 (5) (2007)
Jirí Grim, Jan Hora
Recurrent Bayesian Reasoning in Probabilistic Neural Networks. ICANN (1) (2007)
Jirí Grim
EM Cluster Analysis for Categorical Data. SSPR/SPR (2006)
Jirí Grim, Petr Somol, Michal Haindl, Pavel Pudil
Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP (2006)
Jirí Grim, Michal Haindl, Petr Somol, Pavel Pudil
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) (2006)
Jirí Grim, Petr Somol, Pavel Pudil
Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognit. Lett. 26 (12) (2005)
Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo
A Gaussian Mixture-Based Colour Texture Model. ICPR (3) (2004)
Petr Somol, Pavel Pudil, Jirí Grim
On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR (2004)
Jirí Grim, Michal Haindl
Texture modelling by discrete distribution mixtures. Comput. Stat. Data Anal. 41 (3-4) (2003)
Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol
Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5 (2) (2002)
Jirí Grim, Pavel Pudil, Petr Somol
Boosting in Probabilistic Neural Networks. ICPR (2) (2002)
Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol
Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems (2001)
Petr Somol, Pavel Pudil, Jirí Grim
Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR (2001)
Jirí Grim, Pavel Pudil, Petr Somol
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR (2000)
Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol
Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems (2000)
Jirí Grim
Mixture of experts architectures for neural networks as a special case of conditional expectation formula. Kybernetika 34 (4) (1998)
Igor Vajda, Jirí Grim
About the maximum information and maximum likelihood principles. Kybernetika 34 (4) (1998)
Jirí Grim, Pavel Pudil
On Virtually Binary Nature of Probabilistic Neural Networks. SSPR/SPR (1998)
Jirí Grim, Jana Novovicová, Pavel Pudil, Petr Somol, Francesc J. Ferri
Initializing normal mixtures of densities. ICPR (1998)
Jirí Grim
Maximum-likelihood design of layered neural networks. ICPR (1996)
Jirí Grim
Multivariate statistical pattern recognition with nonreduced dimensionality. Kybernetika 22 (2) (1986)
Jirí Grim
Multimodal discrete Karhunen-Loève expansion. Kybernetika 22 (4) (1986)
Jirí Grim
On structural approximating multivariate discrete probability distributions. Kybernetika 20 (1) (1984)
Jirí Grim
On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions. Kybernetika 18 (3) (1982)
Jirí Benes, Jirí Grim
Automatic stochastic control of impulses on a three-dimensional crystallographic lattice. Kybernetika 12 (5) (1976)