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2010 – 2019
- 2017
[j17]Jirí Grim:
Approximation of Unknown Multivariate Probability Distributions by Using Mixtures of Product Components: A Tutorial. Int. J. Pattern Recognit. Artif. Intell. 31(9): 1750028:1-1750028:37 (2017)- 2014
- [j16]Jirí Grim:
Sequential pattern recognition by maximum conditional informativity. Pattern Recognit. Lett. 45: 39-45 (2014) - [c31]Jirí Grim, Pavel Pudil:
Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. IJCCI (NCTA) 2014: 65-75 - [c30]Jirí Grim, Pavel Pudil
:
Mixtures of Product Components Versus Mixtures of Dependence Trees. IJCCI (Selected Papers) 2014: 365-382 - 2013
- [c29]Petr Somol, Jirí Grim, Jirí Filip, Pavel Pudil:
On Stopping Rules in Dependency-Aware Feature Ranking. CIARP (1) 2013: 286-293 - 2011
- [j15]Petr Somol, Jirí Grim, Jana Novovicová, Pavel Pudil:
Improving feature selection process resistance to failures caused by curse-of-dimensionality effects. Kybernetika 47(3): 401-425 (2011) - [j14]Michal Haindl, Vojtech Havlícek, Jirí Grim:
Probabilistic mixture-based image modelling. Kybernetika 47(3): 482-500 (2011) - [c28]Jirí Grim:
Preprocessing of screening mammograms based on local statistical models. ISABEL 2011: 6:1-6:4 - [c27]Petr Somol, Jirí Grim, Pavel Pudil:
Fast dependency-aware feature selection in very-high-dimensional pattern recognition. SMC 2011: 502-509 - 2010
- [c26]Jirí Grim, Jan Hora:
Computational Properties of Probabilistic Neural Networks. ICANN (3) 2010: 31-40 - [c25]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: 4396-4399 - [c24]Jirí Grim, Petr Somol, Pavel Pudil:
Digital Image Forgery Detection by Local Statistical Models. IIH-MSP 2010: 579-582 - [c23]Michal Haindl, Vojtech Havlícek, Jirí Grim:
Colour texture representation based on multivariate Bernoulli mixtures. ISSPA 2010: 578-581
2000 – 2009
- 2009
- [j13]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): 765-773 (2009) - [c22]Jirí Grim, Jan Hora:
Recognition of Properties by Probabilistic Neural Networks. ICANN (2) 2009: 165-174 - [c21]Petr Somol, Jirí Grim, Pavel Pudil:
Criteria Ensembles in Feature Selection. MCS 2009: 304-313 - 2008
- [j12]Jirí Grim, Jan Hora:
Iterative principles of recognition in probabilistic neural networks. Neural Networks 21(6): 838-846 (2008) - [c20]Michal Haindl, Vojtech Havlícek, Jirí Grim:
Probabilistic Discrete Mixtures Colour Texture Models. CIARP 2008: 675-682 - [c19]Jirí Grim:
Extraction of Binary Features by Probabilistic Neural Networks. ICANN (2) 2008: 52-61 - [c18]Jirí Grim, Jana Novovicová, Petr Somol:
Structural poisson mixtures for classification of documents. ICPR 2008: 1-4 - [c17]Petr Somol, Jana Novovicová, Jirí Grim, Pavel Pudil:
Dynamic Oscillating Search algorithm for feature selection. ICPR 2008: 1-4 - 2007
- [j11]Jirí Grim:
Neuromorphic features of probabilistic neural networks. Kybernetika 43(5): 697-712 (2007) - [c16]Michal Haindl, Jirí Grim, Stanislav Mikes:
Texture Defect Detection. CAIP 2007: 987-994 - [c15]Jirí Grim, Jan Hora:
Recurrent Bayesian Reasoning in Probabilistic Neural Networks. ICANN (1) 2007: 129-138 - [c14]Jirí Grim, Jan Hora:
Minimum Information Loss Cluster Analysis for Categorical Data. MLDM 2007: 233-247 - 2006
- [c13]Jirí Grim, Petr Somol, Michal Haindl, Pavel Pudil:
Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP 2006: 287-296 - [c12]Jirí Grim, Michal Haindl, Petr Somol, Pavel Pudil:
A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) 2006: 235-238 - [c11]Jirí Grim:
EM Cluster Analysis for Categorical Data. SSPR/SPR 2006: 640-648 - 2005
- [j10]Jirí Grim, Petr Somol, Pavel Pudil:
Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognit. Lett. 26(12): 1866-1873 (2005) - 2004
- [c10]Michal Haindl, Jirí Grim, Petr Somol, Pavel Pudil, Mineichi Kudo:
A Gaussian Mixture-Based Colour Texture Model. ICPR (3) 2004: 177-180 - [c9]Petr Somol, Pavel Pudil, Jirí Grim:
On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR 2004: 716-724 - 2003
- [j9]Jirí Grim, Michal Haindl:
Texture modelling by discrete distribution mixtures. Comput. Stat. Data Anal. 41(3-4): 603-615 (2003) - 2002
- [j8]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5(2): 221-233 (2002) - [c8]Jirí Grim, Pavel Pudil, Petr Somol:
Boosting in Probabilistic Neural Networks. ICPR (2) 2002: 136-139 - 2001
- [c7]Petr Somol, Pavel Pudil, Jirí Grim:
Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR 2001: 230-239 - [c6]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems 2001: 168-177 - 2000
- [c5]Jirí Grim, Pavel Pudil, Petr Somol:
Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR 2000: 2585-2589 - [c4]Jirí Grim, Josef Kittler, Pavel Pudil, Petr Somol:
Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems 2000: 157-166
1990 – 1999
- 1998
- [j7]Jirí Grim:
Mixture of experts architectures for neural networks as a special case of conditional expectation formula. Kybernetika 34(4): 417-422 (1998) - [j6]Igor Vajda, Jirí Grim:
About the maximum information and maximum likelihood principles. Kybernetika 34(4): 485-494 (1998) - [c3]Jirí Grim, Jana Novovicová, Pavel Pudil, Petr Somol, Francesc J. Ferri:
Initializing normal mixtures of densities. ICPR 1998: 886-890 - [c2]Jirí Grim, Pavel Pudil:
On Virtually Binary Nature of Probabilistic Neural Networks. SSPR/SPR 1998: 765-774 - 1996
- [c1]Jirí Grim:
Maximum-likelihood design of layered neural networks. ICPR 1996: 85-89
1980 – 1989
- 1986
- [j5]Jirí Grim:
Multivariate statistical pattern recognition with nonreduced dimensionality. Kybernetika 22(2): 142-157 (1986) - [j4]Jirí Grim:
Multimodal discrete Karhunen-Loève expansion. Kybernetika 22(4): 329-339 (1986) - 1984
- [j3]Jirí Grim:
On structural approximating multivariate discrete probability distributions. Kybernetika 20(1): 1-17 (1984) - 1982
- [j2]Jirí Grim:
On numerical evaluation of maximum-likelihood estimates for finite mixtures of distributions. Kybernetika 18(3): 173-190 (1982)
1970 – 1979
- 1976
- [j1]Jirí Benes, Jirí Grim:
Automatic stochastic control of impulses on a three-dimensional crystallographic lattice. Kybernetika 12(5): 355-362 (1976)
Coauthor Index
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