Publikace vzniklé v rámci projektu ZIMOLEZ

Publikace, které vznikly za podpory projektu Zimolez lze nalézt například na stránkách Informačního systému výzkumu, experimentálního vývoje a inovací, v seznamu publikační činnosti Akademie věd. Pro hledání použijte číslo projektu 2C06019 .

Výběr publikací:

2011 (14)

2010 (26)

2009 (23)

2008 (22)

2007 (31)

  • Filip, Jiří ; Haindl, Michal. BTF Modelling using BRDF Texels. International Journal of Computer Mathematics, 2007, Roč. 84, č. 9, s. 1267-1283. ISSN 0020-7160. Dostupný z: <http://dx.doi.org/10.1080/00207160701253802>.
  • Grim, Jiří ; Hora, Jan. Minimum Information Loss Cluster Analysis for Cathegorical Data. Lecture Notes in Computer Science, 2007, Roč. 2007, Č. 4571, s. 233-247. ISSN 0302-9743.
  • Grim, Jiří. Neuromorphic features of probabilistic neural networks. Kybernetika, 2007, Roč. 43, č. 5, s. 697-712. ISSN 0023-5954.
  • Grim, Jiří ; Hora, Jan. Recurrent Bayesian Reasoning in Probabilistic Neural Networks. In Artificial Neural Networks - ICANN 2007 Part I.. Berlin : Springer, 2007. S. 129-138. ISBN 3-540-74693-5. [International Conference on Artificial Neural Networks /17./, Porto, 09.09.2007-13.09.2007, PT].
  • Haindl, Michal ; Filip, Jiří. Extreme Compression and Modeling of Bidirectional Texture Function. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007, Roč. 29, č. 10, s. 1859-1865. ISSN 0162-8828. Dostupný z: <http://doi.ieeecomputersociety.org/10.1109/TPAMI.2007.1139>.
  • Haindl, Michal ; Pudil, Pavel ; Somol, Petr. Model-Based Visual Inspection. Plzeň : UWB, 2007. 25 s. (MATEO - The European Network of Mechatronics Centres and Industrial Controllers).
  • Haindl, Michal ; Žid, Pavel. Multimodal Range Image Segmentation. In Vision Systems, Segmentation & Pattern Recognition. Vienna : I-Tech Education and Publishing, Vienna, 2007. S. 25-46. ISBN 978-3-902613-05-9. Dostupný z: <http://s.i-techonline.com/Book/Vision-Systems-Segmentation-and-Pattern-Recognition/ISBN978-3-902613-05-9.html>.
  • Haindl, Michal. Multiple Classifier Systems. Praha, 23.05.2007-25.05.2007. http://www.diee.unica.it/mcs/.
  • Haindl, Michal ; Šimberová, Stanislava. Probabilistic suppression of astronomical degradations. In Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science. Göttingen : Universitätsverlag Göttingen, 2007. s. 1-1.
  • Haindl, Michal ; Šimberová, Stanislava. Probabilistic suppression of astronomical image degradations. In Modern solar facilities - advanced solar science. Göttingen : Universitätsverlag Göttingen, 2007. S. 127-130. ISBN 978-3-938616-84-0. [Modern solar facilities - advanced solar science, Göttingen, 27.09.2006-29.09.2006, DE]. Dostupný z: <http://www.sub.uni-goettingen.de>.
  • Haindl, Michal ; Somol, Petr. Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice. In International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare. Praha : STAPRO, 2007. s. 1-1.
  • Haindl, Michal ; Grim, Jiří ; Mikeš, Stanislav. Texture Defect Detection. Lecture Notes in Computer Science, 2007, Roč. 2007, Č. 4673, s. 987-994. ISSN 0302-9743. Dostupný z: <http://www.springerlink.com/content/mu2886274135pk77/>.
  • Haindl, Michal ; Mikeš, Stanislav ; Scarpa, G. Unsupervised Detection of Mammogram Regions of Interest. Lecture Notes in Computer Science, 2007, Roč. 2007, Č. 4694, s. 33-40. ISSN 0302-9743. Dostupný z: <http://dx.doi.org/10.1007/978-3-540-74829-8_5>.
  • Haindl, Michal ; Mikeš, Stanislav. Unsupervised Texture Segmentation Using Multiple Segmenters Strategy. Lecture Notes in Computer Science, 2007, Roč. 2007, č. 4472, s. 210-219. ISSN 0302-9743.
  • Haindl, Michal ; Šimberová, Stanislava. Validation of Classical and Blind Criteria for Image Quality Evaluation. In Proceedings of the Ninth IASTED International Conference on Signal and Image Processing. Anaheim : ACTA Press, 2007. S. 218-223. ISBN 978-0-88986-675-1. [The Ninth IASTED International Conference on Signal and Image Processing, Honolulu, 20.08.2007-22.08.2007, US].
  • Hora, Jan. Informational Cathegorical Data Clustering. In Doktorandské dny 2007. Praha : Česká technika ČVUT, 2007. S. 57-66. ISBN 978-80-01-03913-7. [Doktorandské dny 2007, Praha, 16.11.2007, CZ].
  • Jiroušek, Radim ; Malec, M. Compositional Models and Maximum Entropy Principle. In Proceedings of the 6th International Conference on Information and Management Sciences. San Luis Obispo : California Polytechnic State University, 2007. S. 289-295. ISSN 1539-2023. [International Conference on Information and Management Sciences /6./, Lhasa, 01.07.2007-06.07.2007, CN].
  • Jiroušek, Radim ; Vejnarová, Jiřina ; Daniel, Milan. Compositional models for belief functions. In Proceedings of 5th International Symposium on Imprecise Probability: Theories and Applications ISIPTA'07. Praha : Action M Agency, 2007. S. 243-252. ISBN 978-80-86742-20-5. [ISIPTA'07 - 5th International Symposium on Imprecise Probability: Theories and Applications, Praha, 16.07.2007-19.07.2007, CZ].
  • Jiroušek, Radim. Conditional Irrelevance Relation for Belief Functions: Examples. In Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. S. 54-68. [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, Liblice, 15.09.2007-18.09.2007, CZ].
  • Jiroušek, Radim. On a Conditional Irrelevance Relation for Belief Functions Based on the Operator of Composition. In Proceedings of the Workshop on Dynamics of Knowledge and Belief. Hagen : FernUniversitat in Hagen, 2007. S. 28-41. [Workshop on Dynamics of Knowledge and Belief at the 30th Annual German Conference on Artificial Intelligence, Osnabrueck, 10.09.2007-14.09.2007, DE].
  • Kratochvíl, Václav. An Effective Algorithm to Search Reductions in Compositional Models. In Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. S. 75-86. [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, Liblice, 15.09.2007-18.09.2007, CZ].
  • Kroupa, T. (ed.) ; Vejnarová, J. (ed.). Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. 211 s. ISBN N.
  • Novovičová, Jana ; Somol, Petr ; Haindl, Michal ; Pudil, Pavel. Conditional Mutual Information Based Feature Selection for Classification Task. Lecture Notes in Computer Science, 2007, Roč. 45, č. 4756, s. 417-426. ISSN 0302-9743.
  • Pudil, Pavel ; Somol, Petr ; Střítecký, R. Methodology of selecting the most informative variables for decision-making problems of classification type. In Proceedings 6th Int. Conf. on Information and Management Sciences. Lhasa, Tibet, China : California Polytechnic State University, USA, 2007. S. 1-18. ISSN 1539-2023. [6th Int. Conf. on Information and Management Sciences, Lhasa, Tibet, 01.07.2007-06.07.2007, CN]. Dostupný z: <http://library.utia.cas.cz/separaty/2007/ro/pudil-methodology of selecting the most informative variables for decision-making.pdf http://library.utia.cas.cz/separaty/2007/ro/pudil-methodology of selecting the most informative variables for decision-making.pdf>.
  • Pudil, Pavel ; Somol, Petr ; Haindl, Michal. Selection of Most Informative Variables in Statistical Pattern Recognition. Plzeň : UWB, 2007. 87 s. (MATEO -The European Network of Mechatronics Centres and Industrial Controllers).
  • Somol, Petr ; Novovičová, Jana. Does It Make Sense to Develop New Feature Selection Methods?. Praha : ÚTIA AV ČR, 2007. 11 s. (Research Report : 2193).
  • Somol, Petr ; Novovičová, Jana ; Pudil, Pavel. Notes on the evolution of feature selection methodology. Kybernetika, 2007, Roč. 43, č. 5, s. 713-730. ISSN 0023-5954.
  • Vácha, Pavel ; Haindl, Michal. Demonstration of image retrieval based on illumination invariant textural MRF features. In CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval. New York : ACM Press, 2007. S. 135-137. ISBN 978-1-59593-733-9. [ACM international conference on Image and video retrieval /6./, Amsterdam, 09.07.2007-11.07.2007, NL]. Dostupný z: <http://doi.acm.org/10.1145/1282280.1282305>.
  • Vácha, Pavel ; Haindl, Michal. Image retrieval measures based on illumination invariant textural MRF features. In CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval. New York : ACM Press, 2007. S. 448-454. ISBN 978-1-59593-733-9. [ACM international conference on Image and video retrieval /6./, Amsterdam, 09.07.2007-11.07.2007, NL]. Dostupný z: <http://doi.acm.org/10.1145/1282280.1282346>.
  • Vejnarová, Jiřina. On possibilistic marginal problem. Kybernetika, 2007, Roč. 43, č. 5, s. 657-674. ISSN 0023-5954.
  • Vomlel, Jiří ; Studený, Milan. Using imsets for learning Bayesian networks. In Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. S. 178-189. [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, Liblice, 15.09.2007-18.09.2007, CZ].

2006

  • Haindl, Michal. Multiple Classifier Systems. Praha, 23.05.2007-25.05.2007. http://www.diee.unica.it/mcs/.
  • Haindl, Michal ; Šimberová, Stanislava. Probabilistic suppression of astronomical degradations. In Proceedings of Abstracts of Modern Solar Facilities - Advanced Solar Science. Göttingen : Universitätsverlag Göttingen, 2007. s. 1-1.
  • Haindl, Michal ; Šimberová, Stanislava. Probabilistic suppression of astronomical image degradations. In Modern Solar Facilities – Advanced Solar Science. Goettingen : Universitaetsverlag Goettingen, 2007. S. 127-130. ISBN 978-3-938616-84-0. [Modern Solar Facilities – Advanced Solar Science, Goettingen, 27.09.2006-29.09.2006, DE]. Dostupný z: <http://www.sub.uni-goettingen.de>.
  • Haindl, Michal ; Somol, Petr. Statistical Analysis of Medical Images and Its Possible Impact on Medical Practice. In International Conference Efficiency, Quality and Consumer Satisfaction in Healthcare and Welfare. Praha : STAPRO, 2007. s. 1-1.
  • Haindl, Michal ; Grim, Jiří ; Mikeš, Stanislav. Texture Defect Detection. Lecture Notes in Computer Science, 2007, Roč. 2007, Č. 4673, s. 987-994. ISSN 0302-9743. Dostupný z: <http://www.springerlink.com/content/mu2886274135pk77/>.
  • Haindl, Michal ; Mikeš, Stanislav ; Scarpa, G. Unsupervised Detection of Mammogram Regions of Interest. Lecture Notes in Computer Science, 2007, Roč. 2007, Č. 4694, s. 33-40. ISSN 0302-9743. Dostupný z: <http://dx.doi.org/10.1007/978-3-540-74829-8_5>.
  • Haindl, Michal ; Mikeš, Stanislav. Unsupervised Texture Segmentation Using Multiple Segmenters Strategy. Lecture Notes in Computer Science, 2007, Roč. 2007, č. 4472, s. 210-219. ISSN 0302-9743.
  • Haindl, Michal ; Šimberová, Stanislava. Validation of Classical and Blind Criteria for Image Quality Evaluation. In Proceedings of the Ninth IASTED International Conference on Signal and Image Processing. Anaheim : ACTA Press, 2007. S. 218-223. ISBN 978-0-88986-676-8. [The Ninth IASTED International Conference on Signal and Image Processing, Honolulu, 20.08.2007-22.08.2007, US].
  • Jiroušek, Radim ; Malec, M. Compositional Models and Maximum Entropy Principle. In Proceedings of the 6th International Conference on Information and Management Sciences. San Luis Obispo : California Polytechnic State University, 2007. S. 289-295. ISSN 1539-2023. [International Conference on Information and Management Sciences /6./, Lhasa, 01.07.2007-06.07.2007, CN].
  • Jiroušek, Radim ; Vejnarová, Jiřina ; Daniel, Milan. Compositional models for belief functions. In Proceedings of 5th International Symposium on Imprecise Probability: Theories and Applications ISIPTA'07. Praha : Action M Agency, 2007. S. 243-252. ISBN 978-80-86742-20-5. [ISIPTA'07 - 5th International Symposium on Imprecise Probability: Theories and Applications, Praha, 16.07.2007-19.07.2007, CZ].
  • Jiroušek, Radim. Conditional Irrelevance Relation for Belief Functions: Examples. In Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. S. 54-68. [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, Liblice, 15.09.2007-18.09.2007, CZ].
  • Jiroušek, Radim. On a Conditional Irrelevance Relation for Belief Functions Based on the Operator of Composition. In Proceedings of the Workshop on Dynamics of Knowledge and Belief. Hagen : FernUniversitat in Hagen, 2007. S. 28-41. [Workshop on Dynamics of Knowledge and Belief at the 30th Annual German Conference on Artificial Intelligence, Osnabrueck, 10.09.2007-14.09.2007, DE].
  • Kratochvíl, Václav. An Effective Algorithm to Search Reductions in Compositional Models. In Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. S. 75-86. [Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./, Liblice, 15.09.2007-18.09.2007, CZ].
  • Kroupa, T. (ed.) ; Vejnarová, J. (ed.). Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./. Praha : UTIA AV ČR, 2007. 211 s.
  • Novovičová, Jana ; Somol, Petr ; Haindl, Michal ; Pudil, Pavel. Conditional Mutual Information Based Feature Selection for Classification Task. Lecture Notes in Computer Science, 2007, Roč. 45, č. 4756, s. 417-426. ISSN 0302-9743.
  • Pudil, Pavel ; Somol, Petr ; Střítecký, R. Methodology of selecting the most informative variables for decision-making problems of classification type. In Proceedings 6th Int. Conf. on Information and Management Sciences. Lhasa, Tibet, China : California Polytechnic State University, USA, 2007. S. 1-18. ISSN 1539-2023. [6th Int. Conf. on Information and Management Sciences, Lhasa, Tibet, 01.07.2007-06.07.2007, CN].
  • Pudil, Pavel ; Somol, Petr ; Haindl, Michal. Selection of Most Informative Variables in Statistical Pattern Recognition. Plzeň : UWB, 2007. 87 s. (MATEO -The European Network of Mechatronics Centres and Industrial Controllers).
  • Somol, Petr ; Novovičová, Jana. Does It Make Sense to Develop New Feature Selection Methods?. Praha : ÚTIA AV ČR, 2007. 11 s. (Research Report : 2193).
  • Somol, Petr ; Novovičová, Jana ; Pudil, Pavel. Notes on the evolution of feature selection methodology. Kybernetika, 2007, Roč. 43, č. 5, s. 713-730. ISSN 0023-5954.
  • Vácha, Pavel ; Haindl, Michal. Demonstration of image retrieval based on illumination invariant textural MRF features. In CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval. New York : ACM Press, 2007. S. 135-137. ISBN 978-1-59593-733-9. [ACM international conference on Image and video retrieval /6./, Amsterdam, 09.07.2007-11.07.2007, NL]. Dostupný z: <http://doi.acm.org/10.1145/1282280.1282305>.
  • Vácha, Pavel ; Haindl, Michal. Image retrieval measures based on illumination invariant textural MRF features. In CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval. New York : ACM Press, 2007. S. 448-454. ISBN 978-1-59593-733-9. [ACM international conference on Image and video retrieval /6./, Amsterdam, 09.07.2007-11.07.2007, NL]. Dostupný z: <http://doi.acm.org/10.1145/1282280.1282346>.
  • Grim, Jiří ; Somol, Petr ; Haindl, Michal ; Pudil, Pavel. Color Texture Segmentation by Decomposition of Gaussian Mixture Model. Lecture Notes in Computer Science, 2006, Roč. 19, č. 4225, s. 287-296. ISSN 0302-9743.
  • Novovičová, Jana ; Somol, Petr ; Pudil, Pavel. Oscillating feature subset search algorithm for text categorization. Lecture Notes in Computer Science, 2006, Roč. 44, č. 4225, s. 578-587. ISSN 0302-9743.
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