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Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Ing. Jiří Grim, CSc.
Publications
Jornal article
Grim J. : EM cluster analysis for categorical data. Lecture Notes in Computer Science, (2006), pp. 640-648.
Grim J. : Neuromorphic features of probabilistic neural networks Kybernetika, (2007), 5 (2007), pp. 697-712.
Grim J., Hora J. : Iterative principles of recognition in probabilistic neural networks Neural Networks, (2008), 6 (2008), pp. 838-846.
Grim J., Hora J. : Minimum Information Loss Cluster Analysis for Cathegorical Data Lecture Notes in Computer Science, (2007), pp. 233-247.
Grim J., Hora J., Boček P., Somol P., Pudil P. : Statistical Model of the 2001 Czech Census for Interactive Presentation Journal of Official Statistics, (2010), 4 (2010), pp. 1-23.
Grim J., Hora J., Somol P., Boček P., Pudil P. : Statistical Model of the 2001 Czech Census for Interactive Presentation Statistika, (2009), 4 (2009), pp. 285-299.
Grim J., Somol P., Haindl M., Daneš J. : Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models IEEE Transactions on Image Processing, (2009), 4 (2009), pp. 765-773.
Grim J., Somol P., Haindl M., Pudil P. : Color Texture Segmentation by Decomposition of Gaussian Mixture Model. Lecture Notes in Computer Science., 19 (2006), 4225, pp. 287-296.
Grim J., Somol P., Pudil P. : Probabilistic neural network playing and learning Tic-Tac-Toe. Pattern Recognition Letters. Special Issue, 26 (2005), 12, pp. 1866-1873.
Haindl M., Grim J., Mikeš S. : Texture Defect Detection Lecture Notes in Computer Science, (2007), pp. 987-994.
Haindl M., Havlíček V., Grim J. : Probabilistic Discrete Mixtures Colour Texture Models Lecture Notes in Computer Science, (2008), 5197 (2008), pp. 675-682.
Haindl M., Havlíček V., Grim J. : Probabilistic mixture-based image modelling Kybernetika, 47 (2011), 3 (2011), pp. 482-500.
Somol P., Grim J., Novovičová J., Pudil P. : Improving feature selection process resistance to failures caused by curse-of-dimensionality effects Kybernetika, 47 (2010), 3 (2010), pp. 401-425.
Conference paper
Grim J. : Extraction of Binary Features by Probabilistic Neural Networks In: Artificial Neural Networks - ICANN 2008 Part II Springer, Berlin 2008, pp. .
Grim J. : Preprocessing of Screening Mammograms Based on Local Statistical Models In: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011 ACM, Barcelona 2011, pp. .
Grim J., Haindl M., Somol P., Pudil P. : A Subspace Approach to Texture Modelling by Using Gaussian Mixtures In: Proceedings of the 18th International Conference on Pattern Recognition. ICPR 2006 IEEE Press, Hong Kong 2006, pp. 235-238.
Grim J., Hora J. : Computational Properties of Probabilistic Neural Networks In: Artificial Neural Networks – ICANN 2010 Part III Springer Verlag, Berlin Heidelberg 2010, pp. .
Grim J., Hora J. : Recognition of Properties by Probabilistic Neural Networks In: Artificial Neural Networks - ICANN 2009 Part II2 Springer Verlag, Berlin, Heidelberg 2009, pp. .
Grim J., Hora J. : Recurrent Bayesian Reasoning in Probabilistic Neural Networks In: Artificial Neural Networks - ICANN 2007 SL 1 - Theoretical Computer Science and General IssuesPart I Springer, Berlin 2007, pp. .
Grim J., Novovičová J., Somol P. : Structural Poisson Mixtures for Classification of Documents In: Proceedings of the 19th International Conference on Pattern Recognition IEEE Press, Los Alamitos 2008, pp. .
Grim J., Somol P., Haindl M., Pudil P. : A statistical approach to local evalution of a single texture image. In: Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa. University of Cape Town, Cape Town 2005, pp. 171-176.
Grim J., Somol P., Pudil P. : Digital Image Forgery Detection by Local Statistical Models In: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing IEEE computer society, Los Alamitos, California 2010, pp. .
Grim J., Somol P., Pudil P., Míková I., Malec M. : Texture Oriented Image Inpainting based on Local Statistical Model In: Proc. 10th IASTED Conf. on Signal & Image Processing, SIP 2008 ACTA Press, Calgary 2008, pp. .
Haindl M., Grim J., Pudil P., Kudo M. : A Hybrid BTF Model Based on Gaussian Mixtures In: Texture 2005 Heriot-Watt University & IEEE, 2005, pp. 95-100.
Haindl M., Havlíček V., Grim J. : Colour Texture Representation Based on Multivariate Bernoulli Mixtures In: 10th International Conference on Information Sciences, Signal Processing and their Applications IEEE, Los Alamitos 2010, pp. .
Somol P., Grim J., Pudil P. : Criteria Ensembles in Feature Selection In: Multiple Classifier Systems, LNCS 5519 Springer, Berlin Heidelberg 2009, pp. .
Somol P., Grim J., Pudil P. : Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2011) IEEE, Piscataway 2011, pp. .
Somol P., Grim J., Pudil P. : The Problem of Fragile Feature Subset Preference in Feature Selection Methods and A Proposal of Algorithmic Workaround In: Proc. 2010 Int. Conf. on Pattern Recognition IEEE Computer Society, Istanbul 2010, pp. .
Somol P., Novovičová J., Grim J., Pudil P. : Dynamic Oscillating Search Algorithm for Feature Selection In: ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition) IEEE Computer Society, Tampa, Florida 2008, pp. .
Internal print
Grim J. : Neuromorphic Features of Probabilistic Neural Networks. Interní publikace DAR - ÚTIA 2006/20. ÚTIA AV ČR, Praha 2006, 16 pp.
Research report
Grim J., Somol P. : Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models (Research Report 2217) ÚTIA AV ČR, Praha 2008, pp.
Somol P., Grim J. : Fast Dependency-Aware Feature Selection in Very-High-Dimensional Pattern Recognition Problems (Research Report 2295) ÚTIA AV ČR, v.v.i, Praha 2011, pp.
Application/Electronic document
Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models (Presentation)
Lectures
Grim J. (ÚTIA, oddělení Rozpoznávání obrazu)Součinové distribuční směsi, II. část: Příklady použití součinových směsí
Within the event: Pravidelný seminář Rozhodování a řízení za neurčitosti.
Nov. 2 2010, 14:00-16:00 místnost č.474, ÚTIA AV ČR
Grim J. (ÚTIA, oddělení Rozpoznávání obrazu)
Součinové distribuční směsi, I. část: - EM algoritmus
Within the event: Pravidelný seminář Rozhodování a řízení za neurčitosti.
Oct. 5 2010, 14:00-16:00 místnost č.474, ÚTIA AV ČR
Grim J., Novovičová J., Somol P.
Structural Poisson Mixtures for Classification of Documents.
Within the event: 4th International Workshop on Data - Algorithms - Decision Making 2008.
Dec. 1 2008, 14:00-14:20 Llučeň
Haindl M., Grim J., Mikeš S.
Texture Defect Detection.
Within the event: 3rd International Workshop on Data - Algorithms - Decision Making 2007.
Dec. 10 2007, 15:30-16:00 Liblice
Grim J.
A Statistical Approach to Local Evaluation of a Single Texture Image.
Within the event: Pravidelný seminář Rozhodování a řízení za neurčitosti.
Apr. 3 2007, 14:00-15:00 místnost č.474, ÚTIA AV ČR
Jiří Grim
Součinové distribuční směsi II.
Within the event: Pravidelný seminář Rozhodování a řízení za neurčitosti.
Feb. 15 2005, 14:00-15:30 ÚTIA AV ČR
Jiří Grim
Součinové distribuční směsi.
Within the event: Pravidelný seminář Rozhodování a řízení za neurčitosti.
Jan. 18 2005, 14:00-15:30 ÚTIA AV ČR