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PUDIL P, NOVOVICOVA J, CHOAKJARERNWANIT N, KITTLER J
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- Comprehensive Data Analysis For Biomarker Pattern Discovery Using DNA/protein Microarrays
- FEATURE REDUCTION FOR CLASSIFICATION PURPOSE
- Improving a basis function based classification method using feature selection algorithms
PUDIL P, NOVOVICOVA J, CHOAKJARERNWANIT N, KITTLER JPATTERN RECOGNITION 28:(9) 1389-1398 SEP 1995 Times Cited: 29 (20A+9B) Bouguila N A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Volume: 21 Issue: 12 Pages: 1649-1664 Published: DEC 2009 Huang PW, Lee CH Automatic Classification for Pathological Prostate Images Based on Fractal Analysis IEEE TRANSACTIONS ON MEDICAL IMAGING Volume: 28 Issue: 7 Pages: 1037-1050 Published: JUL 2009 Verikas, A., Bacauskiene, M., Valincius, D., Gelzinis, A. Predictor output sensitivity and feature similarity-based feature selection FUZZY SETS AND SYSTEMS 159 (4), pp. 422-434, 2008 YB Kim, J Gao Comprehensive Data Analysis For Biomarker Pattern Discovery Using DNA/protein MicroarraysPh.D. Thesis 2008 - dspace.uta.edu Serpico SB, Moser G Extraction of spectral channels from hyperspectral images for classification purposes IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 45 (2): 484-495 FEB 2007 SB Serpico, G Moser, AF Cattoni FEATURE REDUCTION FOR CLASSIFICATION PURPOSEHyperspectral Data Exploitation: Theory and Applications, 2007 - books.google.com B AI Momani, S McClean, P Morrow Incorporating Knowledge into Unsupervised Model-Based Clustering for Satellite ImagesIEEE/ACS International Conference on Computer Systems and …, 2007 Chang, Y.-C., Lai, P.-C., Lee, M.-T. An integrated approach for operational knowledge acquisition of refuse incinerators EXPERT SYSTEMS WITH APPLICATIONS 33 (2), pp. 413-419, 2007 Navas, E., Hernáez, I., Luengo, I. An objective and subjective study of the role of semantics and prosodic features in building corpora for emotional TTS IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING 14 (4), pp. 1117-1127, 2006 K Kovacs, A Kocsor Improving a basis function based classification method using feature selection algorithmssign - inf.u-szeged.hu Law MHC, Figueiredo MAT, Jain AK Simultaneous feature selection and clustering using mixture models IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 26 (9): 1154-1166 SEP 2004 Wang HX, Zhang QB, Luo B, et al. Robust mixture modelling using multivariate t-distribution with missing information PATTERN RECOGNITION LETTERS Volume: 25 Issue: 6 Pages: 701-710 Published: APR 19 2004 Bacauskiene, M., Verikas, A. Selecting salient features for classification based on neural network committees PATTERN RECOGN LETT 25 (16), pp. 1879-1891, 2004 Figueiredo MAT, Jain AK Unsupervised learning of finite mixture models IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Volume: 24 Issue: 3 Pages: 381-396 Published: MAR 2002 Kudo M Automatic determination of size for feature selection 6TH WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL XVI, PROCEEDINGS - COMPUTER SCIENCE III Pages: 305-311 Published: 2002 Jain AK, Duin RPW, Mao J Statistical Pattern Recognition: A Review IEEE T PATTERN ANAL. AND MACHINE INTELLIGENCE 22: (1) 4 - 37 JAN 2000 Ruiz A, Lopez-de-Teruel PE, Garrido MC Probabilistic inference from arbitrary uncertainty using mixtures of factorized generalized Gaussians J ARTIF INTELL RES 9: 167-217 1998 Wang DY, Keller JM, Carson CA, et al. Use of fuzzy-logic-inspired features to improve bacterial recognition through classifier fusion IEEE T SYST MAN CY B 28: (4) 583-591 AUG 1998 Wu, K., Wang, Y., Pan, Y., Zhang, J., Qian, B., Chang, C. Classifying uterine myoma and adenomyosis based on ultrasound image fractal and texture features Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 7 VOLS, art. no. 1616795, pp. 1790-1793, 2005 Young, B.K., Jean, G. A new semi-supervised subspace clustering algorithm on fitting mixture models Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB '05 2005, art. no. 1594919, 2005 Kudo M., Sklansky J. Classifier Independent Feature Selection for Two-Stage Feature Selection. LECT NOTES COMPUT SC 1451, 548-554, 1998 Baik, S.W., Bala, J. Feature selection in a machine learning system for texture classification Proceedings of SPIE - The International Society for Optical Engineering 3370, pp. 261-268, 1998 Grim J Title: Pravděpodobnostní neuronové sítě Source: Umělá inteligence (4), Book, Academia, Praha, ISBN 80-200-1044-0, Praha 2003 Webb Andrew Title: Statistical Pattern Recognition. Source: Book, John Wiley \& Sons, 2nd.Edition, 2002 Law MH,Figueiredo MAT and Jain AK. Title: Feature saliency in unsupervised learning, Source: Technical Report, Dept. Computer Science and Eng., Michigan State Univ., 2002. Available at http:\\www.cse.msu.edu/~lawhiu/pápera Grim J, Haindl M Title: A Monospectral Probabilistic Discrete Mixture Texture Model. Source: Research Report No. 2018. ÚTIA AV ČR, Praha 2001, 18 p. Grim J, Haindl M Title: A Monospectral Probabilistic Discrete Mixture Texture Model. Source: Research Report No. 2018. ÚTIA AV ČR, Praha 2001, 18 p. Libal V. Title: Road Signs Recognition System. Source: Disertation Thesis, Faculty of El. Eng.CTU, Prague, 2000 Paclík P. Title: The Automatical Classification of Road Signs Source: Master Thesis, Faculty of Transportation Sciences CTU, Prague, 1998 CITATION: APPLICATION OF MULTINOMIAL MIXTURE MODEL TO TEXT CLASSIFICATION NOVOVICOVA J, MALIK A PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS LECTURE NOTES IN COMPUTER SCIENCE 2652: 646-653 2003 Times Cited: 11 (5A + 6B) Pinto, D., Civera, J., Barrón-Cedeño, A., Juan, A., Rosso, P. A statistical approach to crosslingual natural language tasks JOURNAL OF ALGORITHMS 64 (1), pp. 51-60, 2009 Prinzie A, Van den Poel D Random forests for multiclass classification: Random MultiNomial Logit EXPERT SYSTEMS WITH APPLICATIONS Volume: 34 Issue: 3 Pages: 1721-1732 Published: APR 2008 V Alabau, J Andres, F Casacuberta, J Civera, … The naive Bayes model, generalisations and applications dsic.upv.es, 2007 Seprico SB, Moser G. Extraction of spectral channels from hyperspectral images for classification purposes IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Volume: 45 Issue: 2 Pages: 484-495 Published: FEB 2007 R Shi, CH Lee, TS Chua Enhancing image annotation by integrating concept ontology and text-based bayesian learning model Proceedings of the 15th international conference on on Multimedia, 341 – 344, Germany, 2007 J.Mohammad, Alkin Mohamed TEXT MINING:A BURGEONING QUALITY IMPROVEMENT TOOL ABQI TOOL Ph.D.Thesis, 2007 - iam.metu.edu.tr Navas E, Hernaez I, L An objective and subjective study of the role of semantics and prosodic features in building corpora for emotional TTS IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume: 14 Issue: 4 Pages: 1117-1127 Published: JUL 2006 Shi R, Chua TS, Lee CH, et al. Bayesian learning of hierarchical multinomial mixture models of concepts for automatic image annotation LECTURE NOTES IN COMPUTER SCIENCE 4071: 102-112 2006 Bacauskiene M, Verikas A Selecting salient features for classification based on neural network committees PATTERN RECOGNITION LETTERS Volume: 25 Issue: 16 Pages: 1879-1891 Published: DEC 2004 J Civera, A Juan Download 1.13 Mb. Share with your friends:
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