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Publications of Author

1. Jiri Grim, Petr Somol, Michal Haindl, Pavel Pudil
   Color Texture Segmentation by Decomposition of Gaussian Mixture Model. [Citation Graph (0, 0)][DBLP]
   CIARP, 2006, pp:287-296 [Conf]
   
2. Petr Somol, Pavel Pudil, Jiri Grim
   Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. [Citation Graph (0, 0)][DBLP]
   ICAPR, 2001, pp:230-239 [Conf]
   
3. Jiri Grim, Michal Haindl, Petr Somol, Pavel Pudil
   A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
   ICPR (2), 2006, pp:235-238 [Conf]
   
4. Jiri Grim, Pavel Pudil, Petr Somol
   Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. [Citation Graph (0, 0)][DBLP]
   ICPR, 2000, pp:2585-2589 [Conf]
   
5. Jiri Grim, Pavel Pudil, Petr Somol
   Boosting in Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
   ICPR (2), 2002, pp:136-139 [Conf]
   
6. Michal Haindl, Jiri Grim, Petr Somol, Pavel Pudil, Mineichi Kudo
   A Gaussian Mixture-Based Colour Texture Model. [Citation Graph (0, 0)][DBLP]
   ICPR (3), 2004, pp:177-180 [Conf]
   
7. Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol
   Combining Multiple Classifiers in Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2000, pp:157-166 [Conf]
   
8. Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol
   Information Analysis of Multiple Classifier Fusion. [Citation Graph (0, 0)][DBLP]
   Multiple Classifier Systems, 2001, pp:168-177 [Conf]
   
9. Jiri Grim
   EM Cluster Analysis for Categorical Data. [Citation Graph (0, 0)][DBLP]
   SSPR/SPR, 2006, pp:640-648 [Conf]
   
10. Jiri Grim, Pavel Pudil
    On Virtually Binary Nature of Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:765-774 [Conf]
    
11. Petr Somol, Pavel Pudil, Jiri Grim
    On Prediction Mechanisms in Fast Branch & Bound Algorithms. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:716-724 [Conf]
    
12. Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol
    Multiple Classifier Fusion in Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2002, v:5, n:2, pp:221-233 [Journal]
    
13. Jiri Grim, Petr Somol, Pavel Pudil
    Probabilistic neural network playing and learning Tic-Tac-Toe. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:12, pp:1866-1873 [Journal]
    
14. Jiri Grim, Michal Haindl
    Texture modelling by discrete distribution mixtures. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2003, v:41, n:3-4, pp:603-615 [Journal]
    
15. Michal Haindl, Jiri Grim, Stanislav Mikes
    Texture Defect Detection. [Citation Graph (0, 0)][DBLP]
    CAIP, 2007, pp:987-994 [Conf]
    
16. Jiri Grim, Jan Hora
    Recurrent Bayesian Reasoning in Probabilistic Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:129-138 [Conf]
    
17. Jiri Grim, Jan Hora
    Minimum Information Loss Cluster Analysis for Categorical Data. [Citation Graph (0, 0)][DBLP]
    MLDM, 2007, pp:233-247 [Conf]
    
18. 
    Probabilistic Discrete Mixtures Colour Texture Models. [Citation Graph (, )][DBLP]
    
    
19. 
    Extraction of Binary Features by Probabilistic Neural Networks. [Citation Graph (, )][DBLP]
    
    
20. 
    Recognition of Properties by Probabilistic Neural Networks. [Citation Graph (, )][DBLP]
    
    
21. 
    Computational Properties of Probabilistic Neural Networks. [Citation Graph (, )][DBLP]
    
    
22. 
    Structural poisson mixtures for classification of documents. [Citation Graph (, )][DBLP]
    
    
23. 
    Dynamic Oscillating Search algorithm for feature selection. [Citation Graph (, )][DBLP]
    
    
24. 
    Criteria Ensembles in Feature Selection. [Citation Graph (, )][DBLP]