JiÅ™í Grim working as head of the department in the Department of Pattern Recognition in the Institute of Information Theory and Automation. Paper Awards: Best Publication Award (Internal Competition of the Institute): Grim J: Sequential Pattern Recognition by Maximum Conditional Informativity, Pattern Recognition Letters, Vol. 45, No. 1, pp. 39-45, 2014. Award of the Academy of Sciences of the Czech Republic for scientific outcome: Mathematical modeling of visual properties of surface materials, member of the team led by prof. Ing. Michal Haindl, DrSc., 2011. Best Publication Award (Internal Competition of the Institute): Somol P., Grim J., Novovičová J., Pudil P.: Improving feature selection process resistance to failures caused by curse-of-dimensionality effects, Kybernetika, 2011. Best Paper Award: Grim JiÅ™í, Somol Petr, Pudil Pavel: Digital Image Forgery Detection by Local Statistical Models, Proc. 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Darmstadt, 2010. Best Publication Award (Internal Competition of the Institute): 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. Best Publication Award (Internal Competition of the Institute): Grim J., Hora, J.: Iterative principles of recognition in probabilistic neural networks. Neural Networks. Special Issue, 2008. Best Publication Award (Internal Competition of the Institute): Grim J.: Self-organizing maps and probabilistic neural networks. Neural Network World, 3(10): 407-415. 2000. Springer Best Presentation Award: Grim J., Pudil P., Somol P.: Recognition of handwritten numerals by structural probabilistic neural network, Proc. Second ICSC Symposium on Neural Computation“, Berlin, 2000. F. de P. Hanika Memorial Award: Grim J.: A Dialog Presentation of Census Results by Means of the Probabilistic Expert System PES, Proc. Eleventh European Meeting on Cybernetics and Systems Research“, Vienna, 1992.

Statistical Pattern Recognition, Probabilistic Neural Networks, Probabilistic Expert Systems, Application of Distribution Mixtures