Citace (bez autocitací) k 04. 01. 2010 novovičOVÁ Jana 1196
Bilingual Machine-Aided Indexing
Download 1.13 Mb.
|
- Navigate this page:
- Using the Multi-level Classification Method in the Patent Mining Task at NTCIR-7
- An Intelligent System Based on Statistical Learning For Searching in Arabic Text
- Feature Selection Using Mutual Information: An Experimental Study
- II 92-95, 1992 Times Cited: 27 (18A +9B) GL Marcialis, F Roli, L Didaci
- A Low Cost Incremental Biometric Fusion Strategy for a Handheld Device
- AN ANALYSIS OF THE MAX-MIN APPROACH TO FEATURE-SELECTION AND ORDERING
- FLOATING SEARCH METHODS FOR FEATURE SELECTION WITH NONMONOTONIC
- AUTOMATIC MACHINE LEARNING OF DECISION RULE FOR CLASSIFICATION
- Feature Extraction, Construction and Selection
- SIMULTANEOUS LEARNING OF DECISION RULES AND IMPORTANT ATTRIBUTES FOR
- ROAD SIGN CLASSIFICATION USING LAPLACE KERNEL CLASSIFIER
Bilingual Machine-Aided IndexingLanguage - cs.brandeis.edu J Civera, A Juan Multinomial Mixture Modelling for Bilingual Text Classification - 2005 - prhlt.iti.es CITATION: FEATURE SELECTION USING IMPROVED MUTUAL INFORMATION FOR TEXT CATEGORIZATION NOVOVICOVA J, MALIK A, PUDIL P LECTURE NOTES IN COMPUTER SCIENCE 3138: 1010-1017, 2004 Times Cited: 9 (1A+8B) Cunningham, P. Dimension reduction LECTURE NOTES in Applied and Computational Mechanics, pp. 91-112, 2008 D Ji, H Zhao, D Cai Using the Multi-level Classification Method in the Patent Mining Task at NTCIR-7Proceedings of NTCIR-7 Workshop Meeting, December 16–19, 2008, Tokyo, Japan, pp: 362-36 SN Saleh, Y El-Sonbaty A feature selection algorithm with redundancy reduction for text classificationComputer and Information Sciences, 2007. ISCIS 2007, pp 1-6, 2007 P Cunningham, SJ Delany k-NearestNeighbour Classifiers Technical Report UCD-CSI-2007-4 - csiweb.ucd.ie P Cunningham Dimension Reduction Technical Report UCD-CSI-2007-7 - csiweb.ucd.ie Auffarth BJ Feature Selection in Classification of Biomedical High-Resolution Micro-CT Images - 2007 – MSc Thesis -maia.ub.es S Kotsiantis, E Athanasopoulou, P Pintelas Logitboost of Multinomial Bayesian Classifier for Text Classification INTERNATIONAL REVIEW ON COMPUTERS AND SOFTWARE (I. RE. CO. S … - math.upatras.gr) Vol. 1, No. 3, 2006 RA El-Khoribi, MA Ismael, E Giza An Intelligent System Based on Statistical Learning For Searching in Arabic TextAIML Journal, Volume (6), Issue (3), pp 41-47, September, 2006 Ikonomakis M, Kotsiantis S,Tampakas V Text Classification Using Machine Learning Techniques WSEAS TRANS ON COMPUTERS, 4(8): 966-974 AUG 2005 CITATION: INFORMATION-THEORETIC FEATURE SELECTION ALGORITHMS FOR TEXT CLASSIFICATION NOVOVICOVA J, MALIK A INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, PROCEEDINGS MONTREAL, CANADA, AUGUST 4, 2005 3272-3277, 2005 Times Cited: 5 (2A+3B) Mengle SSR, Goharian N Ambiguity Measure Feature-Selection Algorithm JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY Volume: 60 Issue: 5 Pages: 1037-1050 Published: MAY 2009 SSR Mengle, N Goharian Using ambiguity measure feature selection algorithm for support vector machine classifier Proceedings of the 2008 ACM symposium on Applied computing, 2008 SN Saleh, Y El-Sonbaty A feature selection algorithm with redundancy reduction for text classification Computer and Information Sciences, 2007. ISCIS 2007. 22nd …, 2007 - ieeexplore.ieee.org J.Mohammad, Alkin Mohamed TEXT MINING:A BURGEONING QUALITY IMPROVEMENT TOOL ABQI TOOL Ph.D.Thesis, 2007 - iam.metu.edu.tr K List Progress on Dimension Reduction Techniques mee.tcd.ie, 2005 CITATION: TEXT DOCUMENT CLASSIFICATION USING FINITE MIXTURES NOVOVICOVA J, MALIK A RESEARCH REPORT UTIA NO. 2063 Pages 35, 2002 Times Cited: 2 (1A+1B) C Pérez-Sancho, JM Iñesta, J Calera-Rubio Style recognition through statistical event models JOURNAL OF NEW MUSIC RESEARCH, 2005 - ingentaconnect.com C Pérez-Sancho, JM Iñesta, J Calera-Rubio A Text Categorization Approach for Music Style Recognition LECT NOTES COMPUT SC 3523, 703-733, 2005 CITATION: CONDITIONAL MUTUAL INFORMATION BASED FEATURE SELECTION FOR CLASSIFICATION TASK NOVOVICOVA J, SOMOL P, HAINDL M, PUDIL P LECTURE NOTES IN COMPUTER SCIENCE 4756: 417-426, 2007 Times Cited: 2 (2A) Baheti PK, Neifeld MA Recognition using information-optimal adaptive feature-specific imaging Source: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION Volume: 26 Issue: 4 Pages: 1055-1070 Published: APR 2009 H Liu, L Liu, H Zhang Feature Selection Using Mutual Information: An Experimental StudyLECT NOTES COMPUT SC 5351, 235-246, 2008 CITATION: FEATURE SELECTION TOOLBOX SOFTWARE PACKAGE PUDIL P, NOVOVICOVA J, SOMOL P PATTERN RECOGNITION LETTERS 23 (4): 487-492 FEB 2002 Times Cited: 8A Liu, X., Ma, L., Zhang, S., Mathew, J. Feature group optimisation for machinery fault diagnosis based on fuzzy measures Australian Journal of Mechanical Engineering 5 (2), pp. 191-197, 2008 Cristescu, R. Cardinality-constrained feature selection for classification IEEE International Symposium on Information Theory - Proceedings, art. no. 4595366, pp. 2131-2135, 2008 Verikas A, Bacauskiene M, Valincius D, et al. Predictor output sensitivity and feature similarity-based feature selection FUZZY SETS AND SYSTEMS Volume: 159 Issue: 4 Pages: 422-434 Published: FEB 16 2008 Chang YC, Lai PC, Lee MT An integrated approach for operational knowledge acquisition of refuse incinerators EXPERT SYSTEMS WITH APPLICATIONS 33 (2): 413-419 AUG 2007 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 Navas E, Hernaez 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 Volume: 14 Issue: 4 Pages: 1117-1127 Published: JUL 2006 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 Bacauskiene M, Verikas A Selecting salient features for classification based on neural network committees PATTERN RECOGNITION LETTERS 25 (16): 1879-1891 DEC 2004 CITATION: MULTISTAGE PATTERN RECOGNITION WITH REJECT OPTION. PUDIL P., NOVOVICOVA J., BLAHA S., KITTLER J. PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION HAAG, THE NETHERLANDS 1992, II 92-95, 1992Times Cited: 27 (18A +9B) GL Marcialis, F Roli, L DidaciPersonal identity verification by serial fusion of fingerprint and face matchersPATTERN RECOGNITION 2009 L Allano, S Garcia-Salicetti, B Dorizzi A Low Cost Incremental Biometric Fusion Strategy for a Handheld DeviceLECT NOTES COMPUT SC 5342, pp. 842–851, 2008 GL Marcialis, F Roli Serial Fusion of Fingerprint and Face Matchers LECT NOTES COMPUT SC 4472, 151-7160, 2007 R Huber, H Ramoser, K Mayer, H Penz, M Rubik Classification of coins using an eigenspace approach PATTERN RECOGNITION LETTERS 25, 2005 - portal.acm.org Z Sun, Y Wang, T Tan, J Cui Improving iris recognition accuracy via cascaded classifiers IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, 35: (3), 435 AUGUST 2005 - ieeexplore.ieee.org Z Sun, Y Wang, T Tan, J Cui Improving iris recognition accuracy via cascaded classifiers IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, 35: (3), 435 AUGUST 2005 - ieeexplore.ieee.org R Singh, S Samal, T Lahiri A Novel Strategy for Designing Efficient Multiple Classifier LECT NOTES COMPUT SC 3832, 713-720, 2005 Fumera G, Pillai I, Roli F A two stage classifier with reject option for text categorization LECT NOTES COMPUT SC 3138, 771-779, 2004 M Yelizaveta, C Tat-Seng, J Ramesh Semi-supervised annotation of brushwork in paintings domain using serial combinations of multiple . Proceedings of the 14th annual ACM international conference …, 2006 - portal.acm.org LS Oliveira, AS Britto Jr, R Sabourin Improving Cascading Classifiers with Particle Swarm Optimization Proceedings of Eighth Int Conf on Document Analysis and Recognition, 2005 -doi.ieeecomputersociety.org DJ Miller, J Browning A mixture model and EM-based algorithm for class discovery, robust classification, and outlier … IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE 25 (11): 1468-1483 NOV 2003 AFR Rahman, MC Fairhurst Multiple classifier decision combination strategies for character recognition: A review IJDAR International Journal of Document Analysis and Recognition 5: 166–194 2003 D Ruta, B Gabrys A theoretical analysis of the limits of majority voting errors for multiple classifier systems PATTERN ANAL APPL 2002 (5): 333–350 N Giusti, F Masulli, A Sperduti Theoretical and Experimental Analysis of a Two-Stage System for Classification IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE 24 (7): 893-904 JULY 2002 C Sansone, F Tortorella, M Vento A classification reliability driven reject rule for multi-expert systems IJPRAI International Journal of Pattern Recognition and Artificial Intelligence 15 July 2001 Falimo GLU, E Alpaydin Combining Multiple Representations for Pen-based Handwritten Digit Recognition TURK J ELEC ENGIN 9: (1) 2001 Egmont-Petersen M, Dassen WRM, Reiber JHC Sequential selection of discrete features for neural networks - A Bayesian approach to building cascade PATTERN RECOGN LETT 20: (11-13) 1439-1448 NOV 1999 Rahman AFR, Fairhurst MC Serial combination of multiple experts: A unified evaluation PATTERN ANAL APPL 2: (4) 292-311 1999 Alpaydin E., Kaynak C. Cascading Classifiers KYBERNETIKA 34: (4) 369-374 1998 Lienhar R, Maydt J An Extended Set of Haar-like Features for Rapid Object Detection Proceedings of International Image Processing 2002 - ieeexplore.ieee.org IEEE ICIP, 2002 LS Oliveira, AS Britto Jr, R Sabourin Optimizing class-related thresholds with particle swarm optimization Proceedings of International Joint Conference on Neural Networks IJCNN'05, Montreal, Canada, July 31 - August 4, 2005- ieeexplore.ieee.org C Thiel Multiple Classifier Fusion Incorporating Certainty Factors Diploma Thesis 2004- informatik.uni-ulm.de R Lienhart, J Maydt An extended set of Haar-like features for rapid object detection Proceedings of Int Conf on Image Processing, 2002 - ieeexplore.ieee.org C Kaynak, E Alpaydin Title: MultiStage cascading of multiple classifiers: One man’s noise is another man’s data Source: Proc. 17th International Conf. on Machine Learning, 2000 Alpaydin E Title: Techniques for combining multiple learners Source: Proceedings of Engineering of Intelligent Systems ’98 Conference (Ed. E Alpaydn), Vol 2, 612, ICSC Press, 1998.
Alpaydin E., Kaynak C. Title: Cascading Classifiers Source: Proceedings of the 1th International Workshop STIPR'97 on Statistical Techniques in Pattern Recognition , Prague, Czech Republic, June 4-11, 1997, 1-6, 1997 Alpaydin E Learning A Rule and Exceptions International Computer Science TR-97-040, 1997 CITATION: AN ANALYSIS OF THE MAX-MIN APPROACH TO FEATURE-SELECTION AND ORDERINGPUDIL P, NOVOVICOVA J, CHOAKJARERNWANIT N, KITTLER JPATTERN RECOGNITION LETTERS 14: (11) 841-847 NOV 1993 Times Cited: 10 (8A+2B)Ding, Y.-W. Review on passive sonar target recognition TECHNICAL ACOUSTICS Volume 23, Issue 4, Pages 253-257, December 2004 D Korycinski, MM Crawford, J Barnes Adaptive feature selection for hyperspectral data analysis IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING IX Book Series: PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) Volume: 5238 Pages: 213-225 Published: 2004 Serpico SB, Bruzzone L A new search algorithm for feature selection in hyperspectral remote sensing images EEE T GEOSCI REMOTE 39: (7) 1360-1367 JUL 2001 Pan JS, Wang JW Texture segmentation using separable and non-separable wavelet frames IEICE T FUND ELECTR E82A: (8) 1463-1474 AUG 1999 Shapira Y, Gath I Feature selection for multiple binary classification problems PATTERN RECOGN LETT 20: (8) 823-832 AUG 1999 Wang JW, Chen CH, Chien WM, et al. Texture classification using non-separable two-dimensional wavelets PATTERN RECOGN LETT 19: (13) 1225-1234 NOV 1998 Wang JW, Chen CH, Pan JS Genetic feature selection for texture classification using 2-d non-separable wavelet bases IEICE T FUND ELECTR E81A: (8) 1635-1644 AUG 1998 Tistarelli M, Grosso E Active face recognition with a hybrid approach PATTERN RECOGN LETT 18: (9) 933-946 SEP 1997 Tistarelli M Active space-variant object recognition IMAGE VISION COMPUT 13: (3) 215-226 APR 1995 Křížek P, Kittler J, Hlaváč V Title: Feature selection based on the training set manipulation Source: Proc. of the 18th Int. Conference on Pattern Recognition, Hong Kong, 20-25 August 2006 CITATION: FLOATING SEARCH METHODS FOR FEATURE SELECTION WITH NONMONOTONICCRITERION FUNCTIONS PUDIL P., FERRI F.J., NOVOVICOVA J., KITTLER J. PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON PATTERNRECOGNITION JERUSALEM, IZRAEL, 1994. LOS ALAMITOS, IEEE COMPUTER SOCIETY PRESS, Vol. B 279-283 1994Times Cited: 54 (42A+12B) Grancharov V, Zhao DY, Lindblom J, et al. Non-Intrusive Speech Quality Assessment with Low Computational Complexity Conference Information: 9th International Conference on Spoken Language Processing/INTERSPEECH 2006, 2006 Pittsburgh, PA Source: INTERSPEECH 2006 AND 9TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE PROCESSING, VOLS 1-5 Pages: 189-192 Published: 2006 Wang B, Kong XW, Bertino E, et al. Exposing Copy-Paste-Blur Forgeries Based on Color Coherence Source: CHINESE JOURNAL OF ELECTRONICS Volume: 18 Issue: 3 Pages: 487-490 Published: JUL 2009 Sivakumar A, Kannan K A novel feature selection technique for number classification problem using PNN-A plausible scheme for boiler flue gas analysis SENSORS AND ACTUATORS B-CHEMICAL Volume: 139 Issue: 2 Pages: 280-286 Published: JUN 4 2009 Yusta SC Different metaheuristic strategies to solve the feature selection problem PATTERN RECOGNITION LETTERS Volume: 30 Issue: 5 Pages: 525-534 Published: APR 1 2009 Escalera S, Pujol O, Mauri J, et al. Intravascular Ultrasound Tissue Characterization with Sub-class Error-Correcting Output Codes JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY Volume: 55 Issue: 1-3 Pages: 35-47 Published: APR 2009 Baro X, Escalera S, Vitria J, et al. Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification Source: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Volume: 10 Issue: 1 Pages: 113-126 Published: MAR 2009 J Liang, S Yang, A Winstanley Invariant optimal feature selection: A distance discriminant and feature ranking based solution PATTERN RECOGN 41: (5) 1429-1439 MAY 2008 Miller DJ, Wang Y, Kesidis G Emergent unsupervised clustering paradigms with potential application to bioinformatics FRONTIERS IN BIOSCIENCE Volume: 13 Pages: 677-690 Published: JAN 1 2008 Escalera S, Pujol O, Radeva P Sub-class Error-Correcting Output Codes Conference Information: 6th International Conference on Computer Vision Systems, MAY 12-15, 2008 Santorini, GREECE COMPUTER VISION SYSTEMS, PROCEEDINGS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 5008 Pages: 494-504 Published: 2008 Escalera S, Tax DMJ, Pujol O, et al. Subclass problem-dependent design for error-correcting output codes IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE Volume: 30 Issue: 6 Pages: 1041-1054 Published: JUN 2008 Coaquira F, Acuna E Applications of rough sets theory in data preprocessing for knowledge discovery Conference Information: World Congress on Engineering and Computer Science (WCECS 2007), OCT 24-26, 2007 San Francisco, CA WCECS 2007: WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE Pages: 707-712 Published: 2007 Olvera-Lopez JA, Martinez-Trinidad JF, Carrasco-Ochoa JA Restricted sequential floating search applied to object selection Conference Information: 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, JUL 18-20, 2007 Leipzig, GERMANY MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Volume: 4571 Pages: 694-702 Published: 2007 CO’Brien, C Heneghan A comparison of algorithms for estimation of a respiratory signal from the surface electrocardiogram COMPUTERS IN BIOLOGY AND MEDICINE 2007 CC Chang, TY Lin Linear feature extraction by integrating pairwise and global discriminatory information via … PATTERN RECOGN 41: (4) 1373-1383 APRIL 2007 JA Olvera-López, JF Martínez-Trinidad, JA … Restricted Sequential Floating Search Applied to Object Selection LECTURE NOTES IN COMPUTER SCIENCE 2007 L Liu, W Lai, XS Hua, SQ Yang Video Histogram: A Novel Video Signature for Efficient Web Video Duplicate Detection LECTURE NOTES IN COMPUTER SCIENCE, 2007 X Ji, W Lu, Y Cai, N Chen Support vector classification for structure-activity-relationship of 1-(1H-1, 2, 4-triazole-1-yl)-2- … Journal of Shanghai University (English Edition), 521-526, 2007 S Liu, RR Martin, FC Langbein, PL Rosin Segmenting geometric reliefs from textured background surfaces COMPUTER-AIDED DESIGN AND APPLICATIONS, 2007 CC Lee, YC Chiang, CY Shih, HM Huang Caption Localization and Detection for News Videos Using Frequency Analysis and Wavelet Features Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th …, 2007 MB Merickel Jr, MD Abràmoff, M Sonka, X Wu Segmentation of the optic nerve head combining pixel classification and graph search Proc. of SPIE, 2007 Pujol, J Vitrià Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output … IEEE T PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2006 - doi.ieeecomputersociety.org V Grancharov, DY Zhao, J Lindblom, WB Kleijn Low-complexity, nonintrusive speech quality assessment IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume: 14 Issue: 6 Pages: 1948-1956 Published: NOV 2006 - S Piramuthu On preprocessing data for financial credit risk evaluation EXPERT SYSTEMS WITH APPLICATIONS 2006 J Chen, Z Qin Dimensionality Reduction for Evolving RBF Networks with Particle Swarms LECTURE NOTES IN COMPUTER SCIENCE, 2006 M Nemoto, A Shimizu, H Kobatake, H Takeo, S Nawano Study on Cascade Classification in Abnormal Shadow Detection for Mammograms LECTURE NOTES IN COMPUTER SCIENCE, 2006 X Yuan, XS Hua, M Wang, XQ Wu Manifold-ranking based video concept detection on large database and feature pool Proceedings of the 14th annual ACM international conference, Santa Barbara, CA, USA, pp. 623-626, 2006 - portal.acm.org Olvera-Lopez JA, Martinez-Trinidad JF, Carrasco-Ochoa JA Restricted sequential floating search applied to object selection Conference Information: 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, JUL 18-20, 2007 Leipzig, GERMANY MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, PROCEEDINGS Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Volume: 4571 Pages: 694-702 Published: 2007 V Grancharov, DY Zhao, J Lindblom, WB Kleijn Non-Intrusive Speech Quality Assessment with Low Computational Complexity Ninth International Conference on Spoken Language Processing, 2006 – ISCA Haapalainen E, Laurinen P, Junno H, et al. Feature selection for identification of spot welding processes Conference Information: 3rd International Conference on Informatics in Control, Automation and Robotics, AUG 01-05, 2006 Setubal Coll Business Adm, Setubal, PORTUGAL ICINCO 2006: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS - INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION Pages: 40-46 Published: 2006 JY Goulermas, AH Findlow, CJ Nester, D Howard, P … Automated Design of Robust Discriminant Analysis Classifier for Foot Pressure Lesions Using … IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 52, NO. 9, SEPTEMBER 2005 - ieeexplore.ieee.org M Schroder, TN Lal, T Hinterberger, M Bogdan, NJ … Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces EURASIP Journal on Applied Signal Processing, 2005 - hindawi.com L Wang, X Fu Data Mining with Computational Intelligence 2005 - books.google.com M Bensch, M Schroder, M Bogdan, W Rosenstiel Feature Selection for High-Dimensional Industrial Data Proc. ESANN, 2005 TN Lal, M Schröder, T Hinterberger, J Weston, M … Support Vector Channel Selection in BCI IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2004 A Sanfeliu… Two Floating Search Strategies to Compute the Support Sets System for ALVOT LECT NOTES COMPUT SC 3287, 677–684, 2004 Terlevich E, Terlevich R, Papaqui JPT, et al. Computer Science approach to the stellar fabric of violent starforming regions in AGN Conference Information: 222nd Symposium of the International-Astronomical-Union, MAR 01-05, 2004 Gramado, BRAZIL INTERPLAY AMONG BLACK HOLES, STARS AND ISM IN GALACTIC NUCLEI Book Series: IAU SYMPOSIUM AND COLLOQUIUM PROCEEDINGS SERIES Issue: 222 Pages: 545-548 Published: 2004 M Markou, S Singh Feature selection based on a black hole model of data reorganization Conference Information: 17th International Conference on Pattern Recognition (ICPR), AUG 23-26, 2004 British Machine Vis Assoc, Cambridge, ENGLAND PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4 Book Series: INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION Pages: 565-568 Published: 2004 Lopez-Espinoza E, Carrasco-Ochoa JA, Martinez-Trinidad JF Two floating search strategies to compute the support sets system for ALVOT Conference Information: 9th Iberoamerican Congress on Pattern Recognition, OCT 16-29, 2004 Puebla, MEXICO PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS AND APPLICATIONS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 3287 Pages: 677-684 Published: 2004 B Son, G Kee, Y Byun, Y Lee Iris Recognition System Using Wavelet Packet and Support Vector Machines LECT NOTES COMPUT SC 2908, 365-379, 2003 Kudo M, Sklansky J Comparison of algorithms that select features for pattern classifiers PATTERN RECOGN 33: (1) 25-41 JAN 2000 Piramuthu S Feature selection for financial credit-risk evaluation decisions INFORMS J COMPUT 11: (3) 258-266 SUM 1999 Wets G, Vanthienen J, Piramuthu S Extending a tabular knowledge-based framework with feature selection EXPERT SYST APPL 13: (2) 109-119 AUG 1997 D Ververidis, C Kotropoulos Emotional Speech Classification Using Gaussian Mixture Models and the Sequential Floating Forward … IEEE International Conf of Multimedia and Expo, 2005. ICME 2005 - ieeexplore.ieee.org J Lindblad, C Waehlby, E Bengtsson, A Zaltsman Image Analysis for Automatic Segmentation of Cytoplasms and Classification of Rac1 Activation CYTOM PART A 57A (1): 22-33 JAN 2004 C Dietrich, F Schwenker Verfahren zur Merkmalsauswahl bei Mehrklassikatorsystemen - dorsa.de Praktikumsbericht Verfahren zur Merkmalsauswahl bei Mehrklassikatorsystemen Frank F orster Cornelia Beck Matthias Raab 14. August 2003 Webb Andrew Title: Statistical Pattern Recognition. Source: Book, Arnold -London Sydney, Auckland; co-published in United State of America, Oxford University Press Inc. New York, 454 pages, 2002 M Clef Combinaison d’é floues/possibilistes pour la selection de variables Fuzzy/possibilistic labels … laas.fr Kudo M, Somol P, Shimbo M, Sklansky Title: Comparison of Classifier-Specific Feature Selection Algorithms Source: Advances in Pattern Recognition, Lecture Notes in Computer Sciences 1876, 677-686, 2000 Webb Andrew Title: Statistical Pattern Recognition. Source: Book, Arnold -London Sydney, Auckland; co-published in United State of America, Oxford University Press Inc. New York, 1999, 454 pages, 1999 LPDW Wahlster, H Schultheis Verfahren zur Interpretation Physiologischer Daten zur Online-Erkennung Kognitiver und Affektiver … cosy.informatik.uni-bremen.de Nouza J. Title: On the speech feature selection problem: are dynamic features more important than the static ones? Source: Proceedings of the EUROSPEECH'95 , Madrid, Spain, September 18-21, 1995, 919-922,1995 S Piramuthu Evaluating Feature Selection Methods for Learning in Data Mining Applications - ieeexplore.ieee.org S Piramuthu The Hausdorff distance measure for feature selection in learning applications System Sciences, 1999. HICSS-32. Proceedings of the 32nd …, 1999 - ieeexplore.ieee.org C Wählby Algorithms for applied digital image cytometry (book) publications.uu.se CITATION: OSCILLATING FEATURE SUBSET SEARCH ALGORITHM FOR TEXT CATEGORIZATION NOVOVICOVA J, SOMOL P, PUDIL P LECTURE NOTES IN COMPUTER SCIENCE 4225: 578-587 2006 Times Cited: 1 (1A) Pons-Porrata A, Gil-García R, Berlanga-Lavori R Using Typical Texstors for Feature Selection in Text Categorization LECTURE NOTES IN COMPUTER SCIENCE 4756: 643-652 2007 CITATION: NOTES ON THE EVALUATION OF FEATURE SELECTION METHODOLOGY SOMOL P, NOVOVICOVA J, PUDIL P KYBERNETIKA: 43 (5) 713-730 2007 Times Cited: 4 (4A) Liu HW, Liu L, Zhang HJ Boosting feature selection using information metric for classification NEUROCOMPUTING Volume: 73 Issue: 1-3 Special Issue: Sp. Iss. SI Pages: 295-303 Published: DEC 2009 Serag, A., Wenzel, F., Thiele, F., Buchert, R., Young, S. Optimal feature selection for automated classification of FDG-PET in patients with suspected dementi Progress in Biomedical Optics and Imaging - Proceedings of SPIE 7260, art. no. 726012, 2009-07-08,2009 Liu, H., Liu, L., Zhang, H. Feature selection using mutual information: An experimental study LECTURE NOTES IN COMPUTER SCIENCE (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): 5351 LNAI, pp. 235-246, 2008 Jiroušek, R. A short note on Perez's approximation by dependence structure simplification KYBERNETIKA 43 (5), pp. 649-656, 2007 CITATION: MIXED-DATA MULTI MODELLING FOR FAULT DETECTION AND ISOLATION KARNY M, NAGY I, NOVOVICOVA J INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 16 (1): 61-83 FEB 2002 Times Cited: 6 (6A)Zhang YM, Wang QG, Lum KY A H-infinity Fault Detection and Diagnosis Scheme for Discrete Nonlinear System Using Output Probability Density Estimation Conference Information: 2nd Mediterranean Conference on Intelligent Systems and Automation (CISA 2009), MAR 23-25, 2009 Zarzis, TUNISIA Source: INTELLIGENT SYSTEMS AND AUTOMATION Book Series: AIP CONFERENCE PROCEEDINGS Volume: 1107 Pages: 79-84 Published: 2009 Li XL Fault detection and isolation by using multiple model method Conference Information: 5th International Conference on Wavelet Analysis and Pattern Recognition, NOV 02-04, 2007 Beijing, PEOPLES R CHINA Source: 2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS Pages: 53-57 Published: 2007 E Courses, T Surveys Fault detection and isolation by using multiple model method Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, Beijing, China, 2-4 Nov. 2007 Li XL, Kinnaert M Fault tolerant control by using multiple model method Conference Information: 6th World Congress on Intelligent Control and Automation, JUN 21-23, 2006 Dalian, PEOPLES R CHINA Source: WCICA 2006: Sixth World Congress on Intelligent Control and Automation, Vols 1-12, Conference Proceedings Pages: 2364-2369 Published: 2006 Zhang YM, Guo L, Wang H Filter-based fault detection and diagnosis using output PDFs for stochastic systems with time delays INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING 20 (4): 175-194 MAY 2006 YM Zhang, L Guo, H Wang Filter-based FDD using PDFs for stochastic systems with time delays ACC: Proceedings of the 2005 American Control Conference, Vols 1-7 Book Series: PROCEEDINGS OF THE AMERICAN CONTROL CONFERENCE Pages: 1660-1665 Published: 2005 CITATION: AUTOMATIC MACHINE LEARNING OF DECISION RULE FOR CLASSIFICATIONPROBLEMS IN IMAGE ANALYSIS PUDIL P., NOVOVICOVA J., KITTLER JPROCEEDINGS OF BMVC '93 - THE 4TH BRITISH MACHINE VISION CONFERENCEVol. One, 15-24, 1993Times Cited: 1 (1A)Thacker NA,Abraham I, Courtney P Supervised learning extensions to the CLAM network NEURAL NETWORKS : 10 (2) 315-326 MAR 1997 CITATION: Novel Methods for Subset Selection with Respect to Problem Knowledge. Feature Extraction, Construction and SelectionPudil P, Novovičová J Kluwer Academic Publishers, Boston101-116 1998. Times Cited: 2 (1A +1B)Liu H, Yu L Toward Integrating Feature Selection Algorithms for Classification and Clustering IEEE T KNOWLEDGE AND DATA ENGINEERING 17: (3) 301-312 MAR 2005 Liu H., Motoda H. Title: Feature Selection for Knowledge Discovery and Data Mining Source: Book, Kluwer Academic Publishers Boston-Dordrecht-London, ISBN 0-7923-8198, 1998 CITATION: Novel Methods for Subset Selection with Respect to Problem Knowledge. Feature Extraction, Construction and SelectionPudil P, Novovičová J. IEEE INTELLIGENT SYSTEMS & THEIR APPLICATIONS13:(2) 66-74 MAR-APR 1998 Times Cited: 24 (24A)Wang, B., Jia, Y., Yang, S.-Q., Zhou, B. Feature selection algorithm for uncertain text classification Tongxin Xuebao/Journal on Communication 30 (8), pp. 32-38+44, 2009 Wang B, Jia Y, Han Y, et al. Effective Feature Selection on Data with Uncertain Labels Conference Information: IEEE 25th International Conference on Data Engineering, MAR 29-APR 02, 2009 Shanghai, PEOPLES R CHINA Source: ICDE: 2009 IEEE 25TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, VOLS 1-3 Book Series: IEEE International Conference on Data Engineering Pages: 1657-1662 Published: 2009 Cai YP, Sun YJ, Li J, et al. Online Feature Selection Algorithm with Bayesian l(1) Regularization Conference Information: 13th Pacific-Asia Conference on Knowledge and Data Mining, APR 27-30, 2009 Bangkok, THAILAND Source: ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS Book Series: Lecture Notes in Artificial Intelligence Volume: 5476 Pages: 401-413 Published: 2009 Kim BM, Kang BY, Kim HG, et al. Prognosis Prediction for Class III Malocclusion Treatment by Feature Wrapping Method Source: ANGLE ORTHODONTIST Volume: 79 Issue: 4 Pages: 683-691 Published: JUL 2009 Sivakumar, A., Kannan, K. A novel feature selection technique for number classification problem using PNN-A plausible scheme for boiler flue gas analysis SENSORS AND ACTUATORS B-CHEMICAL Volume: 139 Issue: 2 Pages: 280-286 Published: JUN 4 2009 Every MR Discriminating between pitched sources in music audio IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING Volume: 16 Issue: 2 Pages: 267-277 Published: 2008 Sun, Y., Todorovic, S., Goodison, S. A feature selection algorithm capable of handling extremely large data dimensionality Society for Industrial and Applied Mathematics - 8th SIAM International Conference on Data Mining 2008, Proceedings in Applied Mathematics 130 2, pp. 530-540, 2008 Sun YJ Iterative RELIEF for feature weighting: Algorithms, theories, and applications IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 29 (6): 1035-1051 JUN 2007 Sim KB, Jang IH, Park CH The development of interactive feature selection and GA feature selection method for emotion recognition Conference Information: 11th International Conference on Knowledge-Based Intelligent Informational and Engineering Systems/17th Italian Workshop on Neural Networks, SEP 12-14, 2007 Vietri sul Mare, ITALY Knowledge-Based Intelligent Information and Engineering Systems: KES 2007 - WIRN 2007, Pt III, Proceedings Book Series: LECTURE NOTES IN ARTIFICIAL INTELLIGENCE Volume: 4694 Pages: 73-81 Published: 2007 Sim, K.-B., Jang, I.-H., Park, C.-H. The development of interactive feature selection and GA feature selection method for emotion recognition LECTURE NOTES IN COMPUTER SCIENCE 4694 LNAI (PART 3), pp. 73-81, 2007 Kim HD, Park CH, Yang HC, et al. Genetic algorithm based feature selection method development for pattern recognition Conference Information: SICE-ICASE International Joint Conference, OCT 18-21, 2006 Busan, SOUTH KOREA 2006 SICE-ICASE International Joint Conference, Vols 1-13 Pages: 5382-5387 Published: 2006 Park CH, Sim KB The interactive feature selection method development for an ANN based emotion recognition system LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 4253: 241-247 2006 Park CH, Sim KB The novel feature selection method based on emotion recognition system LECTURE NOTES IN COMPUTER SCIENCE 4115: 731-740 2006 Sun YJ, Li J Adaptive learning approach to landmine detection IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS 41 (3): 973-985 JUL 2005 Mao KZ Identifying critical variables of principal components for unsupervised feature selection IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 35 (2): 339-344 APR 2005 Elsila, U., Roning, J. Defect prediction in hot strip rolling IRONMAKING & STEELMAKING 31 (3): 241-248 JUN 2004 Marcelloni F Feature selection based on a modified fuzzy C-means algorithm with supervision INFORMATION SCIENCES Volume: 151 Pages: 201-226 Published: MAY 2003 Laurinen, P., Roning, J. An adaptive neural network model for predicting the post roughing mill temperature of steel slabs in the reheating furnace JOURNAL OF MATERIALS PROCESSING TECHNOLOGY 168 (3), pp. 423-430, 2005 Vakalis, I., Andritsos, F. The architecture of an information tool for de-mining: Mine identification core module (MICM) INFORMATION AND SOFTWARE TECHNOLOGY 44 (1), pp. 25-40, 2002 Fu XJ, Wang LP A GA-based novel RBF classifier with class-dependent features Conference Information: IEEE World Congress on Computational Intelligence (WCCI2002), MAY 12-17, 2002 HONOLULU, HI CEC'02: PROCEEDINGS OF THE 2002 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 Pages: 1890-1894 Published: 2002 Elsila U, Roning J Knowledge discovery in steel industry measurements Conference Information: Starting Artificial Intelligence Researchers Symposium, JUL 22-23, 2002 LYON, FRANCE STAIRS 2002, PROCEEDINGS Book Series: FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS Volume: 78 Pages: 197-206 Published: 2002 Xiong, M., Fang, X., Zhao, J. Biomarker identification by feature wrappers GENOME RESEARCH 11 (11), pp. 1878-1887, 2001 Smits PC, Annoni A Cost-based feature subset selection for interactive image analysis 15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS - PATTERN RECOGNITION AND NEURAL NETWORKS Book Series: INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION Pages: 386-389 Published: 2000 Smits PC, Annoni A Cost-based feature selection for GIS-embedded data fusion IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS Book Series: IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) Pages: 2614-2616 Published: 2000 CITATION: SIMULTANEOUS LEARNING OF DECISION RULES AND IMPORTANT ATTRIBUTES FORCLASSIFICATION PROBLEMS IN IMAGE-ANALYSISPUDIL P, NOVOVICOVA J, KITTLER JIMAGE AND VISION COMPUTING 12:(3) 193-198 APR 1994 Times Cited: 9 (5A+4B) GZ Yang, X Hu Multi-Sensor Fusion Body Sensor Networks, Springer 2006 - books.google.com Coetzee FM Correcting the Kullback-Leibler distance for feature selection PATTERN RECOGNITION LETTERS 26 (11): 1675-1683 AUG 2005 Paodysseus C,Panagopoulos T, Exarhos M, et al. Contour-shape based reconstruction of fragmented, 1600 BC wall paintings IEEE TRANSACTIONS ON SIGNAL PROCESSING Volume: 50 Issue: 6 Pages: 1277-1288 Published: JUN 2002 Picard RW, Vyzas E, Healey J Towards machine emotional intelligence: Analysis of affective physiological state. IEEE T PATTERN ANAL 23: (10) 1175-1191 OCT 2001 Popat K., Picard RW Cluster-based probability model and its application to image and texture processing IEEE T IMAGE PROCESS 6: (2) 268-284 FEB 1997 Webb Andrew Title: Statistical Pattern Recognition. Source: Book, John Wiley \& Sons, 2nd.Edition, 2002 Líbal V. Title:Road Signs Recognition System. Source: Disertation thesis, Fac. of El. Eng. CTU, Prague, 2000 Source: Book, John Wiley \& Sons, 2nd.Edition, 2002
Webb A Title: Statistical Pattern Recognition. Source: Book, Arnold -London Sydney, Auckland; co-published in United State of America, Oxford University Press Inc. New York, 1999, ISBN 0340 74164 3, 454 pages, 1999. Ocelíková E. Title: Dimension Decreasing of Feature Space in Process of Classification. Source: Proceedings of the 1th International Workshop STIPR'97 on Statistical Techniques in Pattern Recognition , Prague, Czech Republic June 9-11, 1997, 107-112, 1997. CITATION: ROAD SIGN CLASSIFICATION USING LAPLACE KERNEL CLASSIFIERPACLIK P, NOVOVICOVA J, PUDIL P, et al.PATTERN RECOGNITION LETTERS21 (13-14): 1165-1173 DEC 2000Times Cited: 49 (39A+10B)Hoferlin B, Zimmermann K Towards Reliable Traffic Sign Recognition Conference Information: IEEE Intelligent Vehicles Symposium, JUN 03-05, 2009 Xian, PEOPLES R CHINA Source: 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2 Book Series: IEEE Intelligent Vehicles Symposium Pages: 324-329 Published: 2009 Ruta, A., Li, Y., Liu, X. Real-time traffic sign recognition from video by class-specific discriminative features PATTERN RECOGNITION Volume: 43 Issue: 1 Pages: 416-430 Published: JAN 2010 Prieto MS, Allen AR A hybrid system for embedded machine vision using FPGAs and neural networks MACHINE VISION AND APPLICATIONS Volume: 20 Issue: 6 Pages: 379-394 Published: OCT 2009 Prieto, M.S., Allen, A.R. Using self-organising maps in the detection and recognition of road signs IMAGE AND VISION COMPUTING Volume: 27 Issue: 6 Pages: 673-683 Published: MAY 4 2009 Nguwi YY, Cho SY Two-tier Self-Organizing Visual Model for Road Sign Recognition Conference Information: International Joint Conference on Neural Networks, JUN 01-08, 2008 Hong Kong, PEOPLES R CHINA Source: 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 Book Series: IEEE International Joint Conference on Neural Networks (IJCNN) Pages: 794-799 Published: 2008 Ruta A, Li YM, Liu XH Detection, Tracking and Recognition of Traffic Signs from Video Input Conference Information: 11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008), OCT 12-15, 2008 Beijing, PEOPLES R CHINA PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS Pages: 55-60 Published: 2008 Cyganek B A Real-Time Vision System for Traffic Signs Recognition Invariant to Translation, Rotation and Scale Conference Information: 10th International Conference on Advanced Concepts for Intelligent Vision Systems, OCT 20-24, 2008 Juan les Pins, FRANCE ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PROCEEDINGS Book Series: LECTURE NOTES IN COMPUTER SCIENCE Volume: 5259 Pages: 278-289 Published: 2008 Pekalska E, Duin RPW Beyond Traditional Kernels: Classification in Two Dissimilarity-Based Representation Spaces IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS Volume: 38 Issue: 6 Pages: 729-744 Published: NOV 2008 Rahman, M.O., Mousumi, F.A., Scavino, E., Hussain, A., Basri, H. Real time road sign recognition system using artificial neural networks for Bengali textual information box Proceedings - International Symposium on Information Technology 2008, ITSim 2, art. no. 4631688 Wang J, De Vries AP, Reinders MJT Unified relevance models for rating prediction in collaborative filtering ACM TRANSACTIONS ON INFORMATION SYSTEMS Volume: 26 Issue: 3 Article Number: 16 Published: 2008 Barnes N, Zelinsky A, Fletcher LS Real-time speed sign detection using the radial symmetry detector IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS Volume: 9 Issue: 2 Pages: 322-332 Published: JUN 2008 Nguwi YY, Kouzani AZ Detection and classification of road signs in natural environments NEURAL COMPUTING & APPLICATIONS Volume: 17 Issue: 3 Pages: 265-289 Published: JUN 2008 Gao, X., Hong, K., Passmore, P., Podladchikova, L., Shaposhnikov, D. Colour vision model-based approach for segmentation of traffic signs EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING 2008, art. no. 386705, 2008 Li YL, de Ridder D, Duin RPW, et al. Integration of prior knowledge of measurement noise in kernel density classification PATTERN RECOGNITION Volume: 41 Issue: 1 Pages: 320-330 Published: JAN 2008 Kus, M.C., Gokmen, M., Etaner-Uyar, S. Traffic Sign Recognition using Scale Invariant Feature Transform and Color Classification Conference Information: 23rd International Symposium on Computer and Information Sciences, OCT 27-29, 2008 Istanbul, TURKEY Source: 23RD INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES Pages: 117-122 Published: 2008 Liu YS, Duh DJ, Chen SY, et al. Scale and skew-invariant road sign recognition INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY 17 (1): 28-39 2007 Cyganek B. Real-Time Detection of the Triangular and Rectangular Shape Road Signs LECTURE NOTES IN COMPUTER SCIENCE 4678, 744-755, 2007 Ruta A, Li Y, Liu X Traffic Sign Recognition Using Discriminative Local Features LECTURE NOTES IN COMPUTER SCIENCE 4723: 355-366 2007 Harol A, Lai C, Pezkalska E, et al. Pairwise feature evaluation for constructing reduced representations PATTERN ANALYSIS AND APPLICATIONS 10 (1): 55-68 FEB 2007 WY Wu, TC Hsieh, CS Lai Extracting Road Signs using the Color Information INT JOURNAL OF COMPUTER SCIENCE AND ENGINEERING, 2007 - waset.org Kouzani AZ Road-sign identification using ensemble learning Conference Information: IEEE Intelligent Vehicles Symposium, JUN 13-15, 2007 Istanbul, TURKEY IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3 Pages: 542-547 Published: 2007 Vazquez-Reina A, Lopez-Sastre RJ, Siegmann P, et al. An approach to the recognition of informational traffic signs based on 2-D homography and SVMs LECTURE NOTES IN COMPUTER SCIENCE 4179: 1163-1173 2006 Petersson L, Fletcher L, Zelinsky A, et al. Towards Safer Roads by Integration of Road Scene Monitoring and Vehicle Control INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH 25 (1): 53-72 JAN 2006 Marmo, R., Lombardi, L., Gagliardi, N. Railway sign detection and classification IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, art. no. 1707412, pp. 1358-1363, 2006 Zhang H, Luo DY A new method for traffic signs classification using probabilistic neural networks LECTURE NOTES IN COMPUTER SCIENCE 3973: 33-39 2006 Nguwi YY, Kouzani AZ A study on automatic recognition of road signs Conference Information: IEEE Conference on Cybernetics and Intelligent Systems, JUN 07-09, 2006 Bangkok, THAILAND 2006 IEEE Conference on Cybernetics and Intelligent Systems, Vols 1 and 2 Pages: 372-377 Published: 2006 Liou YS, Duh DJ, Chen SY, et al. A fast method to detect and recognize scaled and skewed road signs LECTURE NOTES IN COMPUTER SCIENCE 3708: 68-75 2005 Bahlmann C, Zhu Y, Ramesh V, et al. A system for traffic sign detection, tracking, and recognition using color, shape, and motion information Conference Information: IEEE Intelligent Vechicles Symposium, JUN 06-08, 2005 Las Vegas, NV 2005 IEEE Intelligent Vehicles Symposium Proceedings Pages: 255-260 Published: 2005 Fletcher L, Loy G, Barnes N, Correlating driver gaze with the road scene for driver assistance systems ROBOTICS AND AUTONOMOUS SYSTEMS 52 (1): 71-84 JUL 31 2005 de la Escalera A, Armingol JM, Pastor JM, et al. Visual sign information extraction and identification by deformable models for intelligent vehicles IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 5 (2): 57-68 JUN 2004 C Seifert, L Paletta, A Jeitler, E Hodl, JP Andreu … Visual Object Detection for Mobile Road Sign Inventory LECTURE NOTES IN COMPUTER SCIENCE, 2004 – Springer Barnes, N., Loy, G. Real-time regular polygonal sign detection Springer Tracts in Advanced Robotics 25, pp. 55-66, 2006 P Silapachote, A Hanson, R Weiss A hierarchical approach to sign recognition Proc. of IEEE Workshop on Applications of Computer Vision 2005, Vol 1, pp. 22-28 - doi.ieeecomputersociety.org N Barnes Improved Signal To Noise Ratio And Computational Speed For Gradient-Based Detection Algorithms Robotics and Automation, 2005. Proceedings of the 2005 IEEE …, 2005 - ieeexplore.ieee.org C Bahimann, Y Zhu, V Ramesh, M Pellkofer, T … A System for Traffic Sign Detection, Tracking, and Recognition Using Color, Shape, and Motion … IEEE Intelligent Vehicles Symposium, Proceedings 2005, art. no. 1505111, pp. 255-260, 2005 - caesar.informatik.uni-freiburg.de N Barnes, A Zelinsky Real-time radial symmetry for speed sign detection Intelligent Vehicles Symposium, 2004 IEEE, 2004 - ieeexplore.ieee.org H Fleyeh, M Dougherty Download 1.13 Mb. Share with your friends:
|