Založeno v roce 2005 s podporou MŠMT ČR (projekt 1M0572)

Publikace

Monografie Flusser J., Suk T., Zitová B. : Moments and Moment Invariants in Pattern Recognition Wiley & sons, Chichester 2009, pp.
Jiroušek R., Ivánek J., Máša P., Toušek J., Vaněk N. : Principy digitální komunikace. Leda, 2006, 320 pp.
Část monografie Drozd P., Štěpnička M., Dolný A., Völkl P. : Fuzzy modeling - a prospective tool for conservation biology. In: Environmental changes and biological assessment III. Scripta (Kočárek, P.; Plášek, V.; Malachová, K.). Ostravská univerzita v Ostravě, Ostrava 2006, pp. 7-14.
Haindl M., Mikeš S. : Unsupervised Texture Segmentation In: Pattern Recognition Unsupervised Texture Segmentation, chapter 9 (Yin P. ,). I-Tech Education and Publishing, Vienna 2008, pp. .
Haindl M., Žid P. : Multimodal Range Image Segmentation In: Vision Systems, Segmentation & Pattern Recognition (Obinata G. ,Dutta A. ,). I-Tech Education and Publishing,, Vienna 2007, pp. 25-46.
Jiroušek R. : A note on simple factorization in Dempster-Shafer theory of evidence In: Witnessed Years – Essays in Honour of Petr Hájek (Cintula P. ,Haniková Z. ,Švejdar V. ,). College Publications, London 2009, pp. .
Kárný M., Guy T. : On Support of Imperfect Bayesian Participants In: Decision Making with Imperfect Decision Makers On Support of Imperfect Bayesian Participants chapter 2 (). Springer, Berlin Heidelberg 2012, pp. .
Kroupa T. : Geometry of Cores of Submodular Coherent Upper Probabilities and Possibility Measures In: Soft Methods for Handling Variability and Imprecision 48 (Dubois D. ,Lubiano M. ,Prade H. ,Gil M. ,Grzegorzewski P. ,H). Springer-Verlag, Berlin Heidelberg 2008, pp. .
Mareš M. : Fuzzy components of cooperative market In: Perception-Bsed Data Mining and Decision Making in Economics Studies in Computational Intelligence (Batyrshin I. ,Kacprzyk J. ,). Springer-Verlag, Heidelberg 2007, pp. .
Mareš M. : Limits of certainty in the assessment of research In: Věda, Filosofie, Metodoleogie (Filáček A. ,). Filosofia, Praha 2009, pp. .
Mareš M. : Vaguely motivated cooperation In: Fuzzy Optimization (Lodwick W. ,Kacprzyk J. ,). Springer Verlag, Heidelberg 2010, pp. .
Močkoř J. : Fuzzy sets in categories of sets with similarity relations In: Computational Intelligence, Theory and Applications (Reusch, B.). Springer Berlin Heidelberg, Heidelberg 2006, pp. 677-682.
Močkoř J. : Characteristic morphisms and models of fuzzy logic in a category of sets with similarities In: Theoretical Advances and Applications of Fuzzy Logic and Sof (Castillo, O.). Springer, Berlin 2007, pp. 832-840.
Novák V. : Fuzzy Sets as a Special Mathematical Model of Vagueness Phenomenon In: Computational Intelligence, Theory and Applications (Reusch, B.). Springer, Heidelberg 2006, pp. 683-690.
Novák V. : Mathematical fuzzy logic in modeling of natural language semantics In: Fuzzy Logic -- A Spectrum of Theoretical & Practical Issues (Wang, Paul; Ruan, Da; Kerre, Etienne). Springer, Berlin 2007, pp. 145-182.
Novák V. : Mathematical fuzzy logic: from vagueness to commonsense reasoning In: Rehtorische Wissenschaft: Rede und Argumantation in Theorie (Kreuzbauer, G.; Gratzl, N.; Hiebl, E.). Lit Verlag GmbH & Co. KG Wien, Wien 2008, pp. 191-223.
Pecherková P., Duník J., Flídr M. : Modelling and Simultaneous Estimation of State and Parameters of Traffic System In: Robotics, Automation and Control (Pecherková P. ,Flídr M. ,Duník J. ,). In-Tech, Vienna 2008, pp. .
Perfilieva I. : Fixed points and Solvability of Systems of Fuzzy Relations In: Advances in Soft Computing (Castillo, O.; Melin, P.). Springer, Berlin 2007, pp. 841-849.
Perfilieva I. : Fuzzy Transforms and Their Applications to Image Compression In: Fuzzy Logic and Applications. LNAI (Petrosino, A.; Tettamanzi, A.; Bloch, I.). Springer, Heidelberg 2006, pp. 19-31.
Perfilieva I. : Fuzzy Transforms: A Challenge to Conventional Transforms In: Advances in Images and Electron Physics (Perfilieva, Irina; Hawkes, Peter). Elsevier Academic Press, Amsterdam 2007, pp. 137-196.
Perfilieva I.; Daňková M.; Hoďáková P.; Vajgl M. : F-Transform Based Image Fusion In: (). InTech, Rijeka, Croatia 2011, pp. 3-22.
Somol P., Novovičová J., Pudil P. : Efficient Feature Subset Selection and Subset Size Optimization In: Pattern Recognition, Recent Advances (Adam Herout . ,). In-Teh, Vukovar, Croatia 2010, pp. .
Šmídl V., Přikryl J. : From Bayesian Decision-Makers to Bayesian Agents. In: Self-Organization and Autonomic Informatics (I) (Czap H., Unland R., Branki Ch., Tianfield H.). IOS Press, Amsterdam Netherlands 2005, pp. 62 - 76.
Šorel M., Šroubek F., Flusser J. : Recent Advances in Space-Variant Deblurring and Image Stabilization In: Unexploded ordnance detection and mitigation Recent Advances in Space-Variant Deblurring (Byrnes J. ,). Springer Science + Business Media B.V, Dordrecht, The Netherlands 2009, pp. .
Šorel M., Šroubek F., Flusser J. : Towards super-resolution in the presence of spatially varying blur In: Super-resolution imaging (Milanfar P. ,). CRC Press, Milanfar 2010, pp. .
Šroubek F., Flusser J., Cristóbal G. : Multiframe blind deconvolution coupled with frame registration and resolution enhancement In: Blind Image Deconvolution: Theory and Application (Campisi P. ,Egiazarian K. ,). CRC Press, Boca Raton 2007, pp. 317-348.
Šroubek F., Šorel M. : Blind Deconvolution Imaging In: Optical and Digital Image Processing : Fundamentals and Appl (Cristobal G. ,Schelkens P. ,Thienpont H. ,). Wiley, Berlin 2011, pp. .
Vácha P., Haindl M. : Illumination Invariants Based on Markov Random Fields In: Pattern Recognition, Recent Advances (Adam Herout . ,). In-Teh, Vukovar, Croatia 2010, pp. .
Vajda I., Liese F. : f-divergences: Sufficiency, deficiency and testing of hypotheses In: Advances in Inequalities from Probability Theory and Statist (Barnett N. ,Dragomir S. ,). Nova Publishers, Toronto 2009, pp. .
Zvárová J., Veselý A., Vajda I. : Data, Information and Knowledge. Chapter I In: Data Mining and Medical Knowledge Management: Cases and Appl (Berka P. ,Rauch J. ,Zighed D. ,). Information Science Reference, Hershey 2009, pp. .
Článek v odborném periodiku Běhounek L., Kroupa T. : Topology in Fuzzy Class Theory: Basic Notions Lecture Notes in Artificial Intelligence, (2007), pp. 513-522.
Berlinet A., Vajda I. : On asymptotic sufficiency and optimality of quantizations. Journal of Statistical Planning and Inference, 136 (2006), 12, pp. 4217-4238.
Bican J., Flusser J. : 3D Digit Registration by Cylindrical Phase Correlation Method Pattern Recognition Letters, (2009), 10 (2009), pp. 914-921.
Bican J., Flusser J. : Cylindrical Phase Correlation Method Lecture Notes in Computer Science, (2007), 4673 (2007), pp. 751-758.
Bína V., Jiroušek R., : Marginalization in Multidimensional Compositional Models. Kybernetika 42, (2006), 4, pp. 405-422.
Boldyš J., Flusser J. : Extension of Moment Features’ Invariance to Blur Journal of Mathematical Imaging and Vision, (2008), 1 (2008), pp. 1-12.
Bouckaert R., Hemmecke R., Lindner S., Studený M. : Efficient algorithms for conditional independence inference Journal of Machine Learning Research, (2010), 1 (2010), pp. 3453-3479.
Butnariu D., Kroupa T. : Shapley mappings and the cumulative value for n-person games with fuzzy coalitions European Journal of Operational Research, (2008), 1 (2008), pp. 288-299.
Červinka M., Matonoha C., Outrata J. : On the computation of relaxed pessimistic solutions to MPECs Optimization Methods & Software, (2011), pp. .
Daňková M. : Approximation of extensional fuzzy relations over a residuated lattice Fuzzy Sets and Systems 161, (2010), 14, pp. 1973-1991.
Daňková M.; Valášek R. : Full Fuzzy Transform and the Problem of Image Fusion Journal of electrical engineering 7, (2006), 12, pp. 82-84.
Di Martino F., Loia V., Perfilieva I., Sessa S. : An image coding/decoding method based on direct and inverse fuzzy transforms International Journal of Appr. reasoning 1, (2008), 48, pp. 110-131.
Doron E., Yeredor A., Tichavský P. : Cramer-Rao-Induced Bound for Blind Separation of Stationary Parametric Gaussian Sources IEEE Signal Processing Letters, (2007), 6, pp. 417-420.
Dvořák A., Novák V. : Towards Automatic Modeling of Economic Texts Mathware & Soft Computing, (2008), pp. .
Filip J., Haindl M., Chetverikov D. : Fast Synthesis of Dynamic Colour Textures ERCIM News, (2006), 66, pp. 53-54.
Filip J., Haindl M. : Bidirectional Texture Function Modeling: State of the Art Survey IEEE Transactions on Pattern Analysis and Machine Intelligen, (2009), 11 (2009), pp. 1921-1940.
Filip J., Haindl M. : BTF Modelling using BRDF Texels International Journal of Computer Mathematics, (2007), 9 (2007), pp. 1267-1283.
Filip J., Haindl M. : BTF Modelling Using BRDF Texels Lecture Notes in Computer Science, (2006), 4153, pp. 475-484.
Filip J., Chantler M., Haindl M. : On uniform resampling and gaze analysis of bidirectional texture functions ACM Transaction on Applied Perception, (2009), 3 (2009), pp. 1-15.
Flusser J. : Moment Invariants in Image Analysis. Trans. on Engineering, Computing and Technology, 11 (2006), 2, pp. 196-201.
Flusser J., Kautsky J., Šroubek F. : Object recognition by implicit invariants Lecture Notes in Computer Science, (2007), 4673 (2007), pp. 856-863.
Flusser J., Kautský J., Šroubek F. : Implicit Moment Invariants International Journal of Computer Vision, (2009), 1 (2010), pp. 72-86.
Flusser J., Suk T. : Rotation Moment Invariants for Recognition of Symmetric Objects IEEE Transactions on Image Processing, 15 (2006), 12, pp. 3784-3790.
Gebouský P., Kárný M., Křížová H., Wald M. : Staging of upper limb lymphedema from routine lymphoscintigraphic examinations Computers in Biology Medicine, (2009), 1 (2009), pp. 1-7.
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.
Habibala H., Pavliska V., Dvořák A. : Software system for time series prediction based on {F}-transform Aplimat - Journal of applied mathematics, 2009 (2009), pp. 511-518.
Habiball, H.; Pavliska V. : System for time series prediction Aplimat - Journal of applied mathematics 1, 2009 (2009), 1, pp. 511-518.
Haindl M., Filip J. : Extreme Compression and Modeling of Bidirectional Texture Function IEEE Transactions on Pattern Analysis and Machine Intelligen, (2007), 10 (2007), pp. 1859-1865.
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.
Haindl M., Mikeš S. : Colour texture segmentation using modelling approach. Pattern Recognition and Image Analysis., 3687 (2005), pp. 484-491.
Haindl M., Mikeš S. : Unsupervised Texture Segmentation Using Multiple Segmenters Strategy Lecture Notes in Computer Science, (2007), 4472, pp. 210-219.
Haindl M., Mikeš S., Scarpa G. : Unsupervised Detection of Mammogram Regions of Interest Lecture Notes in Computer Science, (2007), pp. 33-40.
Haindl M., Somol P., Ververidis D., Kotropoulos C. : Feature Selection Based on Mutual Correlation. Lecture Notes in Computer Science., 19 (2006), 4225, pp. 569-577.
Harremoes P., Vajda I. : On the Bahadur-efficient testing of uniformity by means of entropy IEEE Transactions on Information Theory, 54 (2008), 1 (2008), pp. 321-331.
Havran V., Filip J., Myszkowski K. : Bidirectional Texture Function Compression Based on Multi-Level Vector Quantization Computer Graphics Forum, (2010), 1 (2010), pp. 175-190.
Hobza T., Esteban M., Morales D., Marhuenda Y. : Divergence-based tests for model diagnostic Statistics & Probability Letters, (2008), 13 (2008), pp. 1702-1710.
Hobza T., Molina I., Morales D. : Multi-sample Rényi test statistics Brazilian Journal of Probability and Statistics, (2009), 2 (2009), pp. 196-215.
Hobza T., Morales D., Herrador M., Esteban M. : A Fay-Herriot Model with Different Random Effect Variances Communications in Statistics - Theory and Methods, 40 (2011), 5 (2011), pp. 785-797.
Hobza T., Pardo L., Vajda I. : Robust median estimator in logisitc regression Journal of Statistical Planning and Inference, (2008), 12 (2008), pp. 3822-3840.
Huňka F. : Object Oriented Software for Fuzzy Arithmetic International Journal of Computing Anticipatory Systems 20, 8 (2008), 20-21-22, pp. 250-261.
Chrastek R., Kubečka L., Jan J. : Towards automated diagnostic evaluation of retina images. Pattern Recognition and Image Analysis, 15 (2005), 2, pp. 273-276.
Ivánek J. : Combining Implicational Quantifiers for Equivalence Ones by Fuzzy Connectives. Int. J. of Intelligent Systems, 21 (2006), 3, pp. 326-334.
JAN, J.; KOLÁŘ, R.; KUBEČKA, L.; ODSTRČILÍK, J.; GAZÁREK, J. : Fusion based Analysis of Ophthalmologic Image Data. Kybernetika, (2011), 3, pp. 455-481.
Jiroušek R. : Data-Based Construction of Multidimensional Probabilistic Models with MUDIM Interest Group in Pure and Applied Logics. Logic Journal, 14 (2006), 3, pp. 501-520.
Jiroušek R. : Foundations of compositional model theory International Journal of General Systems, (2011), 6 (2011), pp. 623-678.
Jiroušek R. : Probabilistic partial knowledge handling International Journal of Approximate Reasoning, (2008), 3 (2008), pp. 359-367.
JIŘÍK; PETERLÍK; RUITER; FOUSEK; DAPP; ZAPF; JAN : Sound-Speed Image Reconstruction in Sparse-Aperture 3D Ultrasound Transmission Tomography. IEEE Transactions on Ultrasonocs, Ferroelectrics, and Freque, (2011), pp. .
Kárný M., Andrýsek J. : Use of Kullback–Leibler divergence for forgetting International Journal of Adaptive Control and Signal Proces vo. 23, (2009), 1, pp. p. 1-15.
Kárný M., Andrýsek J. : Use of Kullback–Leibler divergence for forgetting International Journal of Adaptive Control and Signal Proces, (2008), 1 (2009), pp. 1-15.
Kárný M., Andrýsek J., Bodini A., Guy T., Kracík J., Ruggeri : How to exploit external model of data for parameter estimation? International Journal of Adaptive Control and Signal Process 20, (2006), 1, pp. 41-50.
Kárný M., Kracík J., Nagy I., Nedoma Petr. : When has estimation reached a steady state? The Bayesian sequential test. Intern. Journal of Adaptive Control and Signal Processing, 19 (2005), 1, pp. 41-57.
Kindler, E.; Křivý, I.; Klimeš, C. : Simulation Aided Anticipation of Intelligent Systems Behavior International Journal of Information Technologies and System, (2011), pp. .
Klimeš C. : Expert system utilization for modeling the decision making processes upon indetermination Acta Electrotechnica et Informatica 7, 7 (2007), 12, pp. 28-37.
Klimeš C. : Model of the decision support system under condition of non determination Acta Electrotechnica et Informatica 6, 6 (2006), 12, pp. 28-37.
Klimeš C., Procházka J. : New approaches in software development Acta Electrotechnica et Informatica 2, (2006), 2, pp. 21-26.
Kolář R., Kubečka L., Jan J. : Registration and fusion of the autofluorescent and infrared retina images. on Applied Signal Processing (Hindawi), (2007), submitted, pp. .
Kolář R., Kuběna T., Černošek P., Jan J. : Statistická analýza vrstvy nervových vláken v barevných digitálních snímcích sítnice. Ceska a slovenska oftalmologie, (2009), 65(2), pp. 53-58.
Kolář R., Laemmer R., Jan J., Mardin Ch. : Segmentation of zones with increased autofluorescent properties in the junctional zone of parapapillary atrophy Ophthalmic Surgery Lasers and Imaging, (2007), submitted, pp. .
KOLÁŘ, R.; TAŠEVSKÝ, P. : Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images. Biomedical Image registration. LNCS, (2010), pp. 72-82.
Koldovský Z., Málek J., Tichavský P., Deville Y., Hosseini S : Blind Separation of Piecewise Stationary NonGaussian Sources Signal Processing, (2009), 12 (2009), pp. 2570-2584.
Koldovský Z., Tichavský P., Oja E. : Efficient Variant of Algorithm FastICA for Independent Component IEEE Tr. Neural Networks, 17 (2006), 5, pp. 1265- 1277.
Král L., Šimandl M. : Functional adaptive controller for multivariable stochastic systems with dynamic structure of neural network International Journal of Adaptive Control and Signal Process, 25 (2011), 11, pp. 949–964.
Kratochvíl V. : Characteristic Properties of Equivalent Structures in Compositional Models International Journal of Approximate Reasoning, (2011), 5 (2011), pp. 599-612.
Krolupper F., Flusser J. : Polygonal shape description for recognition of partially occluded objects Pattern Recognition Letters, (2007), 9 (2007), pp. 1002-1011.
Kroupa T. : Core of Coalition Games on MV-algebras Journal of Logic and Computation, (2011), 3 (2011), pp. 479-492.
Kroupa T. : Every state on semisimple MV-algebra is integral Fuzzy Sets and Systems 20, (2006), 157, pp. 2771-2782.
Kroupa T. : Filters in Fuzzy Class Theory Fuzzy Sets and Systems, (2008), 14 (2008), pp. 1773-1787.
Kroupa T. : Geometry of possibility measures on finite sets International Journal of Approximate Reasoning, (2008), 1 (2008), pp. 237-245.
Kroupa T. : Representation and extension of states on MV-algebras Archive for Mathematical Logic, 45 (2006), 4, pp. 381-392.
Kroupa T., Butnariu D. : Enlarged cores and bargaining schemes in games with fuzzy coalitions Fuzzy Sets and Systems, (2009), 5 (2009), pp. 635-643.
Kubečka L., Jan J., Kolář R. : Retrospective Illumination Correction of Retinal Images Manuscript ID: TMI-2007-0725, (2007), submitted, pp. .
Kubečka L., Jan J., Kolář R. : Retrospective Illumination Correction of Retinal Images. J. Biomedical Imaging (Hindawi) vol. 2010, (2010), article ID 780262, pp. .
KUBEČKA, L.; JAN, J.; KOLÁŘ, R. : Retrospective Illumination Correction of Retinal Images. International Journal of Biomedical Imaging, 2010 (2010), 5, pp. 201-223.
Kupka J., Jiménez López V., Linero A. : On the $\omega$-limit sets of product maps Dynamic Systems and Applications, (2010), pp. .
Kupka J., Tomanová I. : Some Extensions of Mining of Linguistic Associations NEURAL NETW WORLD 20, 2010 (2010), 1, pp. 27-44.
Liese F., Vajda I. : On Divergences and Informations in Statistics and Information Theory. IEEE Transactions on Information Theory, 52 (2006), 10, pp. 4394-4412.
Lněnička R., Matúš F. : On Gaussian Conditional Independence Structures. Kybernetika, 43 (2007), 3, pp. 3 2 7 – 3 4 2.
Mareš M. : Fuzzy data in statistics. Kybernetika, (2007), 4 (2007), pp. 491-502.
Mareš M. : Open Topics in Fuzzy Coalitional Games with Transferable Utility. Banach Center Publication. Game Theory and Mathematical Economics, 71 (2006), pp. 213-225.
Mareš M., Vlach M. : Alternative representation of fuzzy coalitions Int. J. of Uncertainty Fuzziness and Knowledge-Based Systems vol.17, (2009), 3, pp. 345-364.
Mareš M., Vlach M. : Disjointness of Fuzzy Coalitions Kybernetika, (2008), 3 (2008), pp. 416-429.
Mareš M., Vlach M. : Fuzzy Coalitional Structures (Alternatives). Mathware and Soft Computing, 8 (2006), 1, pp. 59-70.
Marrugo A., Šorel M., Šroubek F., Millan M. : Retinal image restoration by means of blind deconvolution Journal of Biomedical Optics, 16 (2011), 11 (2011), pp. .
Močkoř J. : alpha-Cuts and models of fuzzy logic INT J GEN SYST, (2011), pp. .
Močkoř J. : Covariant functors in categories of fuzzy sets over MV-algebras Advances in Fuzzy Sets and Systems, 1 (2006), 1, pp. 83-109.
Močkoř J. : Covariant Functors in Categories of Fuzzy Sets over MV-algebras. Advances in Fuzzy Sets and Systems, (2006), 2, pp. 83-109.
Močkoř J. : Extensional subobjects in categories of Omega-fuzzy sets Czechoslovak Mathematical Journal, (2007), 57, pp. 631-645.
Močkoř J. : Extensional Subobjects in Categories of Omega-fuzzy Sets. Czechoslovak Mathematical Journal, (2006), pp. .
Močkoř J. : Models of fuzzy logic in a category of sets with similarity relations International journal of innovative computing, information, (2008), pp. 1063-1068.
Nagy I., Suzdaleva E., Kárný M., Mlynářová T. : Bayesian estimation of dynamic finite mixtures International Journal of Adaptive Control and Signal Proces, 25 (2011), 9 (2011), pp. 765-787.
Niemann H., Chrástek R., Jan J., Kubečka L. et al.: : Towards automated diagnostic evaluation of retina images J. Pattern Recognition and Image Analysis 16, (2006), 4, pp. 671-676.
Nosková L. : System of fuzzy relation equations with infimum - composition:solvability and solutions Journal of Electrical Engineering, (2005), No. 12/s, pp. 69-72.
Novák V., Perfilieva I., Dvořák A., Chen Q., Wei Q., Yan P. : Mining pure linguistic associations from numerical data International Journal of Approximate Reasoning, (2007), pp. .
Novovičová J. : Text document classification. ERCIM News, (2005), 62, pp. 53-54.
Novovičová J., Somol P., Pudil P. : Oscillating feature subset search algorithm for text categorization Lecture Notes in Computer Science, (2006), 4225, pp. 578-587.
Novovičová J., Somol P., Haindl M., Pudil P. : Conditional Mutual Information Based Feature Selection for Classification Task Lecture Notes in Computer Science, (2007), 4756 (2007), pp. 417-426.
Paclík P., Novovičová J., Duin R.P.W. : Building Road-Sign Classifier using a Trainable Similarity Measure. IEEE Transactions on Intelligent Transportation Systems, 7 (2006), 3, pp. 309-321.
Pecherková P., Nagy I.: : Mixture Based Outlier Filtration Acta Polytechnica 46, (2006), pp. 30-35.
Perfilieva I. : F-TRANSFORMS --- WHERE FUZZY AND CLASSICAL MATHEMATICS MEET Applied and Computational Mathematics 10, 2011 (2011), 1, pp. 122-132.
Perfilieva I. : Fuzzy Transforms in Image Compression and Fusion Acta Matematica Universitatis Ostraviensis, (2007), 15, pp. 27-37.
Perfilieva I., De Baets B. : Fuzzy Transform of Monotonous Functions with Applications to Image Processing Information Sciences 180, (2010), 17, pp. 3304-3315.
Perfilieva I., Novák V., Dvořák A. : Fuzzy transform in the analysis of data Intern. Journal of Appr. reasoning, (2007), pp. .
Perfilieva I., Prade H., Dubois D., et al. : Interpolation of Fuzzy Data. Analytical Approach and Overview Fuzzy Sets and Systems, (2010), pp. .
Peterlík I., Jiřík R., Ruiter N., Jan J¨. : Regularized Algebraic Reconstruction Technique for Ultrasound Attenuation Tomography. Radioengineering (Proceedings of Czech and Slovak Technical, (2007), submitted, pp. .
Plšková D. : Application of Fuzzy Control for Reservoir during Flood Passage Journal of ELECTRICAL ENGINEERING, 58 (2007), pp. .
Plšková D. : Fuzzy Transform in Geological Applications. Journal of Electrical Engineering. 57, 57 (2006), 7, pp. 43-46.
Plšková D. : Fuzzy Transform of a Function on the Basis of Triangulation Journal of Electrical Engineering, 56 (2005), 12/s, pp. .
Polakovič O. : Neural networks and their application in ECG Journal of Electrical Engineering, 56 (2005), pp. 62-64.
Polakovič O., Valášek R. : Some Methods of Robot Movement and their Comparison. Journal of Electrical Ingeneering. 57, 57 (2006), 12, pp. 1-1.
Procházka J. : Riziky řízený vývoj software Systémová integrace, 16 (2009), pp. 57-65.
Redondo R., Šroubek F., Fischer S., Cristobal G. : Multifocus image fusion using the log-Gabor transform and a Multisize Windows technique Information Fusion, (2008), 1 (2008), pp. 1-9.
Redondo R., Šroubek Filip, Fischer S., Cristobal G. : Multifocus image fusion using the log-Gabor transform and a Multisize Windows technique Information Fusion Vol. 3, (2009), 2, pp. p. 163-171.
Rijmen F., Vomlel J. : Assessing the performance of variational methods for mixed logistic regression models Journal of Statistical Computation and Simulation, (2008), 8 (2008), pp. 765-779.
Savický P., Vomlel J. : Exploiting Tensor Rank-One Decomposition of Probabilistic Inference Kybernetika, (2007), 5 (2007), pp. 747-764.
Sedlář J., Flusser J., Sedlářová M. : Photorealistic Modeling of the Growth of Filamentous Specimens EURASIP Journal on Advances in Signal Processing, (2008), 520972 (2008), pp. 1-9.
Somol P., Novovičová J., Pudil P. : Flexible-hybrid Sequential Floating Search in Statistical Feature Selection. Lecture Notes in Computer Science, (2006), 4109, pp. 632-639.
Somol P., Baesens B., Pudil P., Vanthienen J. : Filter- versus wrapper-based feature selection for credit scoring. International Journal of Intelligent Systems., 20 (2005), 10, pp. 985-999.
Somol P., Novovičová J. : Evaluating Stability and Comparing Output of Feature Selectors that Optimize Feature Subset Cardinality IEEE Transactions on Pattern Analysis and Machine Intelligen, (2010), 11 (2010), pp. 1921-1939.
Somol P., Novovičová J., Pudil P. : Notes on the evolution of feature selection methodology Kybernetika, (2007), 5 (2007), pp. 713-730.
Straka O.,Šimandl M. : Particle Filter with Adaptive Sample Size Kybernetika, 47 (2011), 3, pp. 385-400.
Studený M., Vomlel J. : A reconstruction algorithm for the essential graph International Journal of Approximate Reasoning, (2009), 2 (2009), pp. 385-413.
Studený M., Vomlel J. : On open problems in the geometric approach to structural learning Bayesian nets International Journal of Approximate Reasoning, (2011), 5 (2011), pp. 627-640.
Studený M., Vomlel J., Hemmecke R. : A geometric view on learning Bayesian network structures International Journal of Approximate Reasoning, 51 (2010), 5 (2010), pp. 578-586.
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Slimáček V., Zeman J., Kárný M. : Dynamic decision making via approximate dynamic programming (Research Report 2227) ÚTIA AV ČR, Praha 2008, pp.
Somol P., Novovičová J. : Does It Make Sense to Develop New Feature Selection Methods? (Research Report 2193) ÚTIA AV ČR, Praha 2007, pp.
Somol P., Novovičová J., Pudil P., Kittler J. : Feature Selection - A Very Compact Survey Over the Diversity of Existing Approaches (Research Report 2285) ÚTIA AV ČR, v.v.i, Praha 2010, pp.
Stummer W., Vajda I. : On Divergences of Finite Measures and Their Applications in Censoring (Interní publikace DAR - ÚTIA 2007/7) ÚTIA AV ČR, Praha 2007, 441-471 pp.
Stummer W., Vajda I. : On Divergences of Finite Measures and their Statistical Applicability (Interní publikace DAR - ÚTIA 2007/14) ÚTIA AV ČR, Praha 2007, 24 pp.
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Šorel M. : Multichannel Blind Restoration of Images with Space-Variant Degradations. ( Interní publikace DAR - ÚTIA 2006/28) ÚTIA AV ČR, Praha 2006, 126 pp.
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