Institute of Information Theory and Automation

Bibliography

Jiří Grim

Books and chapters

  1. Vajda Igor, Grim Jiří: Neural networks , Systems Science and Cybernetics , Eds: Parra-Luna Francisco (2008) Download
  2. Grim Jiří: Pravděpodobnostní neuronové sítě , Umělá inteligence (4), p. 276-312 , Eds: Mařík V., Štěpánková O., Lažanský J., Academia, (Praha 2003) (2003)
  3. Grim Jiří, Boček Pavel, Pudil Pavel: Interaktivní prezentace výsledků sčítání lidu pomocí pravděpodobnostních modelů se zaručenou ochranou anonymity dat , Manažerské rozhledy FM 2001. Sborník příspěvků, p. 13-18 , Eds: Pudil P., VŠE, (Jindřichův Hradec 2002) (2002)

Journal articles

  1. Grim Jiří, Somol Petr, Haindl Michal, Daneš J.: Computer-Aided Evaluation of Screening Mammograms Based on Local Texture Models , IEEE Transactions on Image Processing vol.18, 4 (2009), p. 765-773 (2009)
  2. Grim Jiří, Hora J., Somol Petr, Boček Pavel, Pudil P.: Interaktivní statistický model dat ze sčítání lidu v České republice v r. 2001 , Statistika vol.89, 4 (2009), p. 285-299 (2009) Download
  3. Grim Jiří, Hora Jan: Iterative principles of recognition in probabilistic neural networks , Neural Networks vol.21, 6 (2008), p. 838-846 (2008)
  4. Haindl Michal, Havlíček Vojtěch, Grim Jiří: Probabilistic Discrete Mixtures Colour Texture Models , Lecture Notes in Computer Science vol.2008, 5197 (2008), p. 675-682, Iberoamerican Congress on Pattern Recognition /13./, (Havana, CU, 09.092008-12.09.2008) (2008) Download
  5. Grim Jiří, Hora Jan: Minimum Information Loss Cluster Analysis for Cathegorical Data , Lecture Notes in Computer Science vol.2007, p. 233-247, International Conference on Machine Learning and Data Mining MLDM 2007 /5./, (Leipzig, DE, 18.07.2007-20.07.2007) (2007)
  6. Grim Jiří: Neuromorphic features of probabilistic neural networks , Kybernetika vol.43, 5 (2007), p. 697-712 (2007)
  7. Haindl Michal, Grim Jiří, Mikeš Stanislav: Texture Defect Detection , Lecture Notes in Computer Science vol.2007, p. 987-994, Computer Analysis of Images and Patterns, (Vienna, AT, 27.08.2007-29.08.2007) (2007) Download
  8. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel: Color Texture Segmentation by Decomposition of Gaussian Mixture Model , Lecture Notes in Computer Science vol.19, 4225 (2006), p. 287-296, Iberoamerican Congress on Pattern Recognition. CIARP 2006 /11./, (Cancun, MX, 14.11.2006-17.11.2006) (2006) Download
  9. Grim Jiří: EM cluster analysis for categorical data , Lecture Notes in Computer Science vol.44, 4109 (2006), p. 640-648, Joint IAPR International Workshops SSPR 2006 and SPR 2006, (Hong Kong, CN, 17.08.2006-19.08.2006) (2006)
  10. Grim Jiří, Somol Petr, Pudil Pavel: Probabilistic neural network playing and learning Tic-Tac-Toe , Pattern Recognition Letters vol.26, 12 (2005), p. 1866-1873 (2005)
  11. Grim Jiří, Hora J., Pudil Pavel: Interaktivní reprodukce výsledků sčítání lidu pomocí statistického modelu se zaručenou ochranou anonymity dat , Statistika vol.40, 5 (2004), p. 400-414 (2004)
  12. Grim Jiří, Just P., Pudil Pavel: Strictly modular probabilistic neural networks for pattern recognition , Neural Network World vol.13, 6 (2003), p. 599-615 (2003)
  13. Grim Jiří, Haindl Michal: Texture modelling by discrete distribution mixtures , Computational Statistics and Data Analysis vol.41, p. 603-615 (2003)
  14. Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Multiple classifier fusion in probabilistic neural networks , Pattern Analysis and Applications vol.5, 7 (2002), p. 221-233 (2002)
  15. Grim Jiří, Pudil Pavel, Somol Petr: Probabilistic information retrieval from census data based on distribution mixtures , Acta Oeconomica Pragensia vol.8, 2 (2000), p. 41-47 (2000)
  16. Grim Jiří: Self-organizing maps and probabilistic neural networks , Neural Network World vol.10, 3 (2000), p. 407-415 (2000)
  17. Grim Jiří, Vejvalková Jana: An iterative inference mechanism for the probabilistic expert system PES , International Journal of General Systems vol.27, p. 373-396 (1999)
  18. Vajda Igor, Grim Jiří: About the maximum information and maximum likelihood principles in neural networks , Kybernetika vol.34, 4 (1998), p. 485-494 (1998)
  19. Grim Jiří: Mixture of experts architectures for neural networks as a special case of conditional expectation formula , Kybernetika vol.34, 4 (1998), p. 417-422 (1998)
  20. Grim Jiří: Knowledge representation and uncertainty processing in the probabilistic expert system PES , International Journal of General Systems vol.22, 2 (1994), p. 103-111 (1994)
  21. Grim Jiří, Kolář Pavel: Akciové společnosti s téměř jistým převisem poptávky ve 4. kole , Hospodářské noviny, p. 8 (1992)
  22. Boček Pavel, Grim Jiří, Kolář Pavel: Kam s kupóny v druhém kole? , Hospodářské noviny, p. 8 (1992)
  23. Boček Pavel, Grim Jiří, Kolář Pavel: Kupónová privatizace zdárně pokračuje , Akcionář vol.3, 15 (1992), p. 8 (1992)
  24. Grim Jiří, Kolář Pavel: Kuponová privatizace: odhadování rizika převisů , Akcionář vol.3, 21 (1992), p. 10-11 (1992)
  25. Boček Pavel, Grim Jiří, Kolář Pavel: Podle počítače. Porovnání výkonnosti českých a slovenských podniků, zařazených do první vlny kupónové privatizace , Hospodářské noviny, p. 8 (1992)
  26. Grim Jiří: Probabilistic expert systems and distribution mixtures , Computers and Artificial Intelligence vol.9, 3 (1990), p. 241-256 (1990)

Other publications

  1. Somol Petr, Grim Jiří, Pudil Pavel: Criteria Ensembles in Feature Selection , Multiple Classifier Systems, LNCS 5519 , Eds: Benediktsson J.A., Kittler J., Roli F., Multiple Classifier Systems, (Reykjavik, IS, 10.06.2009-12.06.2009) (2009)
  2. Grim Jiří, Hora Jan: Recognition of Properties by Probabilistic Neural Networks , Artificial Neural Networks - ICANN 2009 , Eds: Polycarpou Marios, Alipi Cesare, Panayiotou Christos, Ellinas Georgios, 19th International Conference on Artificia Neural Networks, (Limassol, CY, 14.09.2009-17.09.2009) (2009) Download
  3. Grim Jiří, Somol Petr: Diagnostic Enhancement of Screening Mammograms by Means of Local Texture Models, ÚTIA AV ČR, (Praha 2008) Research Report 2217 (2008)
  4. Somol Petr, Novovičová Jana, Grim Jiří, Pudil Pavel: Dynamic Oscillating Search Algorithm for Feature Selection , ICPR 2008 Proceedings (Int. Conf. on Pattern Recognition), ICPR 2008 (Int. Conf. on Pattern Recognition), (Tampa, Florida, US, 07.12.2008-11.12.2008) (2008) Download
  5. Grim Jiří: Extraction of Binary Features by Probabilistic Neural Networks , Artificial Neural Networks - ICANN 2008 , Eds: Kůrková V., Neruda R., Koutník J., ICANN 2008. International Conference on Artificial Neural Networks /18./, (Prague, CZ, 03.09.2008-06.09.2008) (2008)
  6. Grim Jiří, Novovičová Jana, Somol Petr: Structural Poisson Mixtures for Classification of Documents , Proceedings of the 19th International Conference on Pattern Recognition, 19th International Conference on Pattern Recognition, (Tampa, US, 07.12.2008-11.12.2008) (2008) Download
  7. Grim Jiří, Somol Petr, Pudil Pavel, Míková I., Malec M.: Texture Oriented Image Inpainting based on Local Statistical Model , Proc. 10th IASTED Conf. on Signal & Image Processing, SIP 2008 , Eds: Cristea P., 10th IASTED Conf. on Signal & Image Processing, SIP 2008, (Kailua-Kona, HI, US, 18.08.2008-20.08.2008) (2008) Download
  8. Grim Jiří, Hora Jan: Recurrent Bayesian Reasoning in Probabilistic Neural Networks , Artificial Neural Networks - ICANN 2007 , Eds: Marques de Sá J., Alexandre L. A., Duch W., Mandic D., International Conference on Artificial Neural Networks /17./, (Porto, PT, 09.09.2007-13.09.2007) (2007)
  9. Grim Jiří, Haindl Michal, Somol Petr, Pudil Pavel: A subspace approach to texture modelling by using Gaussian mixtures , Proceedings of the 18th Conference on Pattern Recognition. ICPR 2006, p. 235-238 , Eds: Haralic B., Ho T. K., International Conference on Pattern Recognition /18./, (Hong-Kong, CN, 20.08.2006-24.08.2006) (2006)
  10. Grim Jiří: Neuromorphic Features of Probabilistic Neural Networks, ÚTIA AV ČR, (Praha 2006) Internal Publication 2006/20 (2006)
  11. Haindl Michal, Grim Jiří, Pudil Pavel, Kudo M.: A hybrid BTF model based on Gaussian mixtures , Texture 2005. Proceedings of the 4th International Workshop on Texture Analysis, p. 95-100 , Eds: Chantler M., Drbohlav O., IEEE, (Los Alamitos 2005) , International Workshop on Texture Analysis and Synthesis /4./, (Beijing, CN, 21.10.2005) (2005)
  12. Grim Jiří, Somol Petr, Haindl Michal, Pudil Pavel: A statistical approach to local evalution of a single texture image , Proceedings of the Sixtheenth Annual Symposium of the Pattern Recognition Association of South Africa, p. 171-176 , Eds: Nicolls F., Annual Symposium of the Pattern Recognition Association of South Africa /16./, (Langebaan, ZA, 23.11.2005-25.11.2005) (2005)
  13. Haindl Michal, Grim Jiří, Somol Petr, Pudil Pavel, Kudo M.: A Gaussian mixture-based colour texture model , Proceedings of the 17th IAPR International Conference on Pattern Recognition, p. 177-180, International Conference on Pattern Recognition /17./, (Cambridge, GB, 23.08.2004-26.08.2004) (2004)
  14. Grim Jiří, Hora J., Boček Pavel, Somol Petr, Pudil P.: Information analysis of census data by using statistical models , Proceedings of the International Conference on Statistics - Investment in the Future, p. 1-7 , Eds: Krovák J., Statistics - Investment in the Future, (Prague, CZ, 06.09.2004-07.09.2004) (2004)
  15. Somol Petr, Pudil Pavel, Grim Jiří: On prediction mechanisms in Fast Branch & Bound algorithms , Structural, Syntactic, and Statistical Pattern Recognition. Joint IAPR International Workshops SSPR 2004 and SPR 2004. Proceedings, p. 716-724, Joint IAPR Workshops SSPR 2004 and SPR 2004, (Lisbon, PT, 18.08.2004-20.08.2004) (2004) Download
  16. Grim Jiří, Somol Petr, Pudil Pavel, Just P.: Probabilistic neural network playing a simple game , Artificial Neural Networks in Pattern Recognition. Proceedings, p. 132-138 , Eds: Marinai S., Gori M., University of Florence, (Florence 2003) , IAPR TC3 Workshop 2003 /1./, (Florence, IT, 12.09.2003-13.09.2003) (2003)
  17. Grim Jiří, Haindl Michal: A discrete mixtures colour texture model , Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, p. 59-62 , Eds: Chantler M., HeriotWatt University, (Glasgow 2002) , Textures 2002, (Copenhagen, DK, 01.06.2002) (2002)
  18. Grim Jiří, Pudil Pavel, Somol Petr: Boosting in probabilistic neural networks , Proceedings of the 16th International Conference on Pattern Recognition, p. 136-139 , Eds: Kasturi R., Laurendeau D., Suen C., IEEE Computer Society, (Los Alamitos 2002) , International Conference on Pattern Recognition /16./, (Québec City, CA, 11.08.2002-15.08.2002) (2002)
  19. Grim Jiří, Haindl Michal: A mixture-based colour texture model. Abstract , Recent Developments in Mixture Modelling. Abstracts, p. 58 , Eds: Bohning D., Seidel W., Universität der Bundeswehr, (Hamburg 2001) , Mixtures 2001, (Hamburg, DE, 23.07.2001-28.07.2001) (2001)
  20. Grim Jiří, Haindl Michal: A Monospectral Probabilistic Discrete Mixture Texture Model, ÚTIA AV ČR, (Praha 2001) Research Report 2018 (2001)
  21. Somol Petr, Pudil Pavel, Grim Jiří: Branch & Bound algorithm with partial prediction for use with recursive and non-recursive criterion forms , Advances in Pattern Recognition - ICAPR 2001. Proceedings, p. 425-434 , Eds: Singh S., Murshed N., Kropatsch W., Springer, (Heidelberg 2001) Lecture Notes in Computer Science. vol.2013 , ICAPR /2./, (Rio de Janeiro, BR, 11.03.2001-14.03.2001) (2001)
  22. Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Information analysis of multiple classifier fusion , Multiple Classifier Systems, p. 168-177 , Eds: Kittler J., Roli F., Springer, (Berlin 2001) Lecture Notes in Computer Science. vol.2096 , Multiple Classifier Systems. MCS 2001, (Cambridge, GB, 02.07.2001-04.07.2001) (2001)
  23. Grim Jiří: Latent Structure Analysis for Categorical Data, ÚTIA AV ČR, (Praha 2001) Research Report 2019 (2001)
  24. Grim Jiří, Boček Pavel, Pudil Pavel: Safe dissemination of census results by means of interactive probabilistic models , Proceedings of the ETK-NTTS 2001 Conference, p. 849-856 , Eds: Nanopoulos P., Wilkinson D., European Communities, (Rome 2001) , Exchange of Technology and Know-How and New Techniques and Technologies for Statistics, (Hersonissos, GR, 18.06.2001-22.06.2001) (2001)
  25. Grim Jiří: The models of conditional independence: Finite mixtures of product components and their application. Abstract , Recent Developments in Mixture Modelling. Abstracts, p. 59 , Eds: Boehning D., Seidel W., Universität der Bundeswehr, (Hamburg 2001) , Mixtures 2001, (Hamburg, DE, 23.07.2001-28.07.2001) (2001)
  26. Grim Jiří, Kittler J., Pudil Pavel, Somol Petr: Combining multiple classifiers in probabilistic neural networks , Multiple Classifier Systems, p. 157-166 , Eds: Kittler J., Roli F., Springer, (Berlin 2000) Lecture Notes in Computer Science. vol.1857 , First International Workshop MCS 2000, (Cagliari, IT, 21.06.2000-23.06.2000) (2000)
  27. Grim Jiří, Pudil Pavel, Somol Petr: Multivariate structural Bernoulli mixtures for recognition of handwritten numerals , Proceedings of the 15th International Conference on Pattern Recognition, p. 585-589 , Eds: Sanfeliu A., Villanueva J. J., Vanrell M., IEEE Computer Society, (Los Alamitos 2000) , International Conference on Pattern Recognition /15./, (Barcelona, ES, 03.09.2000-07.09.2000) (2000)
  28. Grim Jiří, Pudil Pavel, Somol Petr: Recognition of handwritten numerals by structural probabilistic neural networks , Proceedings of the Second ICSC Symposium on Neural Computation, p. 528-534 , Eds: Bothe H., Rojas R., ICSC, (Wetaskiwin 2000) , NC 2000, (Berlin, DE, 23.05.2000-26.05.2000) (2000)
  29. Grim Jiří: A sequential modification of EM algorithm , Classification in the Information Age. Proceedings, p. 163-170 , Eds: Gaul W., Locarek-Junge H., Springer, (Berlin 1999) Studies in Classification, Data Analysis, and Knowledge Organization. , Annual GfKl Conference /22./, (Dresden, DE, 04.03.1998-06.03.1998) (1999)
  30. Grim Jiří: Information approach to structural optimization of probabilistic neural networks , Fourth European Congress on Systems Science, p. 527-539 , Eds: Ferrer L., Caselles A., SESGE, (Valencia 1999) , European Congress on Systems Science /4./, (Valencia, ES, 20.09.1999-24.09.1999) (1999)
  31. Grim Jiří, Pudil Pavel: Interactive presentation of socio-economic databases by means of probabilistic models , Proceedings of the 17th International Conference on Mathematical Methods in Economics '99, p. 103-108 , Eds: Plešingr J., VŠE, (Praha 1999) , Mathematical Methods in Economics '99 /17./, (Jindřichův Hradec, CZ, 14.09.1999-16.09.1999) (1999)
  32. Grim Jiří: Pravděpodobnostní neuronové sítě, ÚTIA AV ČR, (Praha 1999) Research Report 1953 (1999)
  33. Grim Jiří: Discretization of probabilistic neural networks with bounded information loss , Preprints of the 3rd European IEEE Workshop on Computer-Intensive Methods in Control and Data Processing, p. 205-210 , Eds: Rojíček J., Valečková M., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1998) , CMP'98 /3./, (Praha, CZ, 07.09.1998-09.09.1998) (1998)
  34. Grim Jiří, Novovičová Jana, Pudil Pavel, Somol Petr, Ferri F. J.: Initializing normal mixtures of densities , Proceedings of the 14th International Conference on Pattern Recognition, p. 886-890 , Eds: Jain A. K., Venkatesh S., Lovell B. C., IEEE, (Los Alamitos 1998) , ICPR '98 /14./, (Brisbane, AU, 16.08.1998-20.08.1998) (1998)
  35. Grim Jiří, Pudil Pavel: On virtually binary nature of probabilistic neural networks , Advances in Pattern Recognition. Proceedings, p. 765-774 , Eds: Amin A., Dori D., Pudil P., Freeman H., Springer, (Berlin 1998) Lecture Notes in Computer Science. vol.1451 , Joint IAPR International Workshops SSPR'98 and SPR'98, (Sydney, AU, 11.08.1998-13.08.1998) (1998)
  36. Vajda Igor, Grim Jiří: About the maximum information and maximum likelihood principles in neural networks , Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 189-197 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) (1997)
  37. Grim Jiří: Maximum-Likelihood Structuring of Probabilistic Neural Networks, ÚTIA AV ČR, (Praha 1997) Research Report 1894 (1997)
  38. Grim Jiří: Mixture of experts architectures for neural networks as a special case of conditional expectation formula , Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, p. 55-60 , Eds: Pudil P., Novovičová J., Grim J., ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) (1997)
  39. Pudil Pavel, Novovičová Jana, Grim Jiří: Proceedings of the 1st IAPR TC1 Workshop on Statistical Techniques in Pattern Recognition, ÚTIA AV ČR, (Praha 1997) , STIPR '97 /1./, (Prague, CZ, 09.06.1997-11.06.1997) (1997)
  40. Vajda Igor, Grim Jiří: About Optimality of Probabilistic Basic Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1887 (1996)
  41. Grim Jiří: An Alternative Design of Mixture of Experts Architectures for Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1883 (1996)
  42. Grim Jiří, Vejvalková J.: An Interative Inference Mechanism for the Probabilistic Expert System PES, ÚTIA AV ČR, (Praha 1996) Research Report 1866 (1996)
  43. Grim Jiří: Design of multilayer neural networks by information preserving transforms , Third European Congress on Systems Science, p. 977-982 , Eds: Pessa E., Penna M. P., Montesanto A., Edizioni Kappa, (Roma 1996) , European Congress on Systems Science /3./, (Rome, IT, 01.10.1996-04.10.1996) (1996)
  44. Grim Jiří: Discretization in Probabilistic Neural Networks with Bounded Information Loss, ÚTIA AV ČR, (Praha 1996) Research Report 1878 (1996)
  45. Grim Jiří: Maximum-likelihood design of layered neural networks , International Conference on Pattern Recognition. Proceedings, p. 85-89, IEEE Computer Society Press, (Los Alamitos 1996) , Conference on Pattern Recognition /13./, (Vienna, AT, 25.08.1996-29.08.1996) (1996)
  46. Vajda Igor, Grim Jiří: On Information Theoretic Optimality of Radial Basis Function Neural Networks, ÚTIA AV ČR, (Praha 1996) Research Report 1864 (1996)
  47. Grim Jiří, Vavruška D.: Probabilistic Knowledge-based Models Defined by Finite Distribution Mixtures, ÚTIA AV ČR, (Praha 1996) Research Report 1873 (1996)
  48. Grim Jiří, Boček Pavel: Statistical model of Prague households for interactive presentation of census data , SoftStat '95. Advances in Statistical Software 5, p. 271-278 , Eds: Faulbaum F., Bandilla W., Lucius & Lucius, (Stuttgart 1996) , Conference on the Scientific Use of Statistical Software /8./, (Heidelberg, DE, 26.03.1995-30.03.1995) (1996)
  49. Grim Jiří: Individualized voting scheme - a democratic violation of the democratic voting principle , Cybernetics and Systems '94, p. 1081-1088 , Eds: Trappl R., World Scientific, (Singapore 1994) , European Meeting on Cybernetics and Systems Research /12./, (Vienna, AT, 05.04.1994-08.04.1994) (1994)
  50. Grim Jiří: Multidimensional problems in the probabilistic expert system PES , Computer-Intensive Methods in Control and Signal Processing, p. 83-90 , Eds: Kulhavá L., Kárný M., Warwick K., ÚTIA AV ČR, (Praha 1994) , IEEE Workshop CMP '94, (Praha, CZ, 07.09.1994-09.09.1994) (1994)
  51. Grim Jiří, Boček Pavel: Statistical Model of Prague Households for Interactive Presentation of Census Data, ÚTIA AV ČR, (Praha 1994) Research Report 1822 (1994)
  52. Grim Jiří: A Dialog Presentation of Census Results by Means of the Probabilistic Expert System PES , 11th European Meeting on Cybernetics and Systems Research '92, p. 997-1004 , Eds: Trappl R., World Scientific, (Singapore 1992) , European Meeting on Cybernetics and Systems Research /11./, (Vienna, AT, 21.04.1992-24.04.1992) (1992)
  53. Grim Jiří: Knowledge Representation and Uncertainty Processing in the Probabilistic Expert System PES , Workshop on Uncertainty Processing in Expert Systems, p. - , Eds: Jiroušek R., ÚTIA ČSAV, (Prague 1991) , WUPES '91, (Alšovice, CS, 09.09.1991-12.09.1991) (1991)
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Last modification: 03.09.2008
Institute of Information Theory and Automation