Jiri Grim

	2009
25		Jiri Grim, Jan Hora: Recognition of Properties by Probabilistic Neural Networks. ICANN (2) 2009: 165-174
24		Petr Somol, Jiri Grim, Pavel Pudil: Criteria Ensembles in Feature Selection. MCS 2009: 304-313
23		Jiri Grim, Petr Somol, Michal Haindl, J. Danes: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models. IEEE Transactions on Image Processing 18(4): 765-773 (2009)
	2008
22		Michal Haindl, Vojtech Havlícek, Jiri Grim: Probabilistic Discrete Mixtures Colour Texture Models. CIARP 2008: 675-682
21		Jiri Grim: Extraction of Binary Features by Probabilistic Neural Networks. ICANN (2) 2008: 52-61
20		Petr Somol, Jana Novovicová, Jiri Grim, Pavel Pudil: Dynamic Oscillating Search algorithm for feature selection. ICPR 2008: 1-4
19		Jiri Grim, Jana Novovicová, Petr Somol: Structural poisson mixtures for classification of documents. ICPR 2008: 1-4
18		Jiri Grim, Jan Hora: Iterative principles of recognition in probabilistic neural networks. Neural Networks 21(6): 838-846 (2008)
	2007
17		Michal Haindl, Jiri Grim, Stanislav Mikes: Texture Defect Detection. CAIP 2007: 987-994
16		Jiri Grim, Jan Hora: Recurrent Bayesian Reasoning in Probabilistic Neural Networks. ICANN (1) 2007: 129-138
15		Jiri Grim, Jan Hora: Minimum Information Loss Cluster Analysis for Categorical Data. MLDM 2007: 233-247
	2006
14		Jiri Grim, Petr Somol, Michal Haindl, Pavel Pudil: Color Texture Segmentation by Decomposition of Gaussian Mixture Model. CIARP 2006: 287-296
13		Jiri Grim, Michal Haindl, Petr Somol, Pavel Pudil: A Subspace Approach to Texture Modelling by Using Gaussian Mixtures. ICPR (2) 2006: 235-238
12		Jiri Grim: EM Cluster Analysis for Categorical Data. SSPR/SPR 2006: 640-648
	2005
11		Jiri Grim, Petr Somol, Pavel Pudil: Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters 26(12): 1866-1873 (2005)
	2004
10		Michal Haindl, Jiri Grim, Petr Somol, Pavel Pudil, Mineichi Kudo: A Gaussian Mixture-Based Colour Texture Model. ICPR (3) 2004: 177-180
9		Petr Somol, Pavel Pudil, Jiri Grim: On Prediction Mechanisms in Fast Branch & Bound Algorithms. SSPR/SPR 2004: 716-724
	2003
8		Jiri Grim, Michal Haindl: Texture modelling by discrete distribution mixtures. Computational Statistics & Data Analysis 41(3-4): 603-615 (2003)
	2002
7		Jiri Grim, Pavel Pudil, Petr Somol: Boosting in Probabilistic Neural Networks. ICPR (2) 2002: 136-139
6		Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Multiple Classifier Fusion in Probabilistic Neural Networks. Pattern Anal. Appl. 5(2): 221-233 (2002)
	2001
5		Petr Somol, Pavel Pudil, Jiri Grim: Branch & Bound Algorithm with Partial Prediction for Use with Recursive and Non-recursive Criterion Forms. ICAPR 2001: 230-239
4		Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Information Analysis of Multiple Classifier Fusion. Multiple Classifier Systems 2001: 168-177
	2000
3		Jiri Grim, Pavel Pudil, Petr Somol: Multivariate Structural Bernoulli Mixtures for Recognition of Handwritten Numerals. ICPR 2000: 2585-2589
2		Jiri Grim, Josef Kittler, Pavel Pudil, Petr Somol: Combining Multiple Classifiers in Probabilistic Neural Networks. Multiple Classifier Systems 2000: 157-166
	1998
1		Jiri Grim, Pavel Pudil: On Virtually Binary Nature of Probabilistic Neural Networks. SSPR/SPR 1998: 765-774

Coauthor Index

1	J. Danes	[23]
2	Michal Haindl	[8] [10] [13] [14] [17] [22] [23]
3	Vojtech Havlícek	[22]
4	Jan Hora	[15] [16] [18] [25]
5	Josef Kittler	[2] [4] [6]
6	Mineichi Kudo	[10]
7	Stanislav Mikes	[17]
8	Jana Novovicová	[19] [20]
9	Pavel Pudil	[1] [2] [3] [4] [5] [6] [7] [9] [10] [11] [13] [14] [20] [24]
10	Petr Somol	[2] [3] [4] [5] [6] [7] [9] [10] [11] [13] [14] [19] [20] [23] [24]

Colors in the list of coauthors