Jirí Grim

48 papers B 7C 3Journal 17Unranked 21
YearRankTypeTitle / Venue / Authors
2017 J jnl
Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial.
Int. J. Pattern Recognit. Artif. Intell.
Jirí Grim
2014 — conf
Mixtures of Product Components Versus Mixtures of Dependence Trees.
IJCCI (Selected Papers)
Jirí Grim, Pavel Pudil
2014 — conf
Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees.
IJCCI (NCTA)
Jirí Grim, Pavel Pudil
2014 J jnl
Sequential pattern recognition by maximum conditional informativity.
Pattern Recognit. Lett.
Jirí Grim
2013 — conf
On Stopping Rules in Dependency-Aware Feature Ranking.
CIARP (1)
Petr Somol, Jirí Grim, Jirí Filip, Pavel Pudil
2011 B conf
Fast dependency-aware feature selection in very-high-dimensional pattern recognition.
SMC
Petr Somol, Jirí Grim, Pavel Pudil
2011 J jnl
Improving feature selection process resistance to failures caused by curse-of-dimensionality effects.
Kybernetika
Petr Somol, Jirí Grim, Jana Novovicová, Pavel Pudil
2011 — conf
Preprocessing of screening mammograms based on local statistical models.
ISABEL
Jirí Grim
2011 J jnl
Probabilistic mixture-based image modelling.
Kybernetika
Michal Haindl, Vojtech Havlícek, Jirí Grim
2010 — conf
Colour texture representation based on multivariate Bernoulli mixtures.
ISSPA
Michal Haindl, Vojtech Havlícek, Jirí Grim
2010 — conf
Computational Properties of Probabilistic Neural Networks.
ICANN (3)
Jirí Grim, Jan Hora
2010 — conf
Digital Image Forgery Detection by Local Statistical Models.
IIH-MSP
Jirí Grim, Petr Somol, Pavel Pudil
2010 B conf
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround.
ICPR
Petr Somol, Jirí Grim, Pavel Pudil
2009 J jnl
Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models.
IEEE Trans. Image Process.
Jirí Grim, Petr Somol, Michal Haindl, Jan Danes
2009 — conf
Criteria Ensembles in Feature Selection.
MCS
Petr Somol, Jirí Grim, Pavel Pudil
2009 — conf
Recognition of Properties by Probabilistic Neural Networks.
ICANN (2)
Jirí Grim, Jan Hora
2008 B conf
Dynamic Oscillating Search algorithm for feature selection.
ICPR
Petr Somol, Jana Novovicová, Jirí Grim, Pavel Pudil
2008 — conf
Extraction of Binary Features by Probabilistic Neural Networks.
ICANN (2)
Jirí Grim
2008 J jnl
Iterative principles of recognition in probabilistic neural networks.
Neural Networks
Jirí Grim, Jan Hora
2008 C conf
Probabilistic Discrete Mixtures Colour Texture Models.
CIARP
Michal Haindl, Vojtech Havlícek, Jirí Grim
2008 B conf
Structural poisson mixtures for classification of documents.
ICPR
Jirí Grim, Jana Novovicová, Petr Somol
2007 — conf
Minimum Information Loss Cluster Analysis for Categorical Data.
MLDM
Jirí Grim, Jan Hora
2007 J jnl
Neuromorphic features of probabilistic neural networks.
Kybernetika
Jirí Grim
2007 — conf
Recurrent Bayesian Reasoning in Probabilistic Neural Networks.
ICANN (1)
Jirí Grim, Jan Hora
2007 C conf
Texture Defect Detection.
CAIP
Michal Haindl, Jirí Grim, Stanislav Mikes
2006 — conf
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures.
ICPR (2)
Jirí Grim, Michal Haindl, Petr Somol, Pavel Pudil
2006 C conf
Color Texture Segmentation by Decomposition of Gaussian Mixture Model.
CIARP
Jirí Grim, Petr Somol, Michal Haindl, Pavel Pudil
2006 — conf
EM Cluster Analysis for Categorical Data.
SSPR/SPR
Jirí Grim
2005 J jnl
Probabilistic neural network playing and learning Tic-Tac-Toe.
Pattern Recognit. Lett.
Jirí Grim, Petr Somol, Pavel Pudil
2004 — conf
A Gaussian Mixture-Based Colour Texture Model.
ICPR (3)
Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo
2004 — conf
On Prediction Mechanisms in Fast Branch & Bound Algorithms.
SSPR/SPR
Petr Somol, Pavel Pudil, Jirí Grim
2003 J jnl
Texture modelling by discrete distribution mixtures.
Comput. Stat. Data Anal.
Jirí Grim, Michal Haindl
2002 — conf
Boosting in Probabilistic Neural Networks.
ICPR (2)
Jirí Grim, Pavel Pudil, Petr Somol
2002 J jnl
Multiple Classifier Fusion in Probabilistic Neural Networks.
Pattern Anal. Appl.
Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol
2001 — conf
Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms.
ICAPR
Petr Somol, Pavel Pudil, Jirí Grim
2001 — conf
Information Analysis of Multiple Classifier Fusion.
Multiple Classifier Systems
Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol
2000 — conf
Combining Multiple Classifiers in Probabilistic Neural Networks.
Multiple Classifier Systems
Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol
2000 B conf
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals.
ICPR
Jirí Grim, Pavel Pudil, Petr Somol
1998 J jnl
About the maximum information and maximum likelihood principles.
Kybernetika
Igor Vajda, Jirí Grim
1998 B conf
Initializing normal mixtures of densities.
ICPR
Jirí Grim, Jana Novovicová, Pavel Pudil, Petr Somol, Francesc J. Ferri
1998 J jnl
Mixture of experts architectures for neural networks as a special case of conditional expectation formula.
Kybernetika
Jirí Grim
1998 — conf
On Virtually Binary Nature of Probabilistic Neural Networks.
SSPR/SPR
Jirí Grim, Pavel Pudil
1996 B conf
Maximum-likelihood design of layered neural networks.
ICPR
Jirí Grim
1986 J jnl
Multimodal discrete Karhunen-Loève expansion.
Kybernetika
Jirí Grim
1986 J jnl
Multivariate statistical pattern recognition with nonreduced dimensionality.
Kybernetika
Jirí Grim
1984 J jnl
On structural approximating multivariate discrete probability distributions.
Kybernetika
Jirí Grim
1982 J jnl
On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions.
Kybernetika
Jirí Grim
1976 J jnl
Automatic stochastic control of impulses on a three-dimensional crystallographic lattice.
Kybernetika
Jirí Benes, Jirí Grim