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Volumn 4132 LNCS - II, Issue , 2006, Pages 113-122

Content-based coin retrieval using invariant features and self-organizing maps

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; IMAGE SENSORS; INFORMATION MANAGEMENT; INVARIANCE; QUERY LANGUAGES; SELF ORGANIZING MAPS;

EID: 33749858967     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11840930_12     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 2
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    • A survey of information retrieval and filtering methods
    • Dept. of Computer Science, Univ. of Maryland, College Park
    • Faloutsos, C., Oard, D.: A Survey of Information Retrieval and Filtering Methods. Tech. Rep. CS-TR-3514, Dept. of Computer Science, Univ. of Maryland, College Park, (1995)
    • (1995) Tech. Rep. , vol.CS-TR-3514
    • Faloutsos, C.1    Oard, D.2
  • 3
    • 0003598912 scopus 로고    scopus 로고
    • Content-based image retrieval systems: A survey
    • Dept. of Computer Science, Utrecht University
    • Veltkamp, R.C.: Content-Based Image Retrieval Systems: A Survey. Revision of Tech. Rep. UU-CS-2000-34, Dept. of Computer Science, Utrecht University, (2002)
    • (2002) Revision of Tech. Rep. , vol.UU-CS-2000-34
    • Veltkamp, R.C.1
  • 4
    • 0003598917 scopus 로고    scopus 로고
    • Content-based image retrieval
    • JISC Technology Application Program, Newcastle upon Tyne
    • Eakins, J.P., Graham, M.E.: Content-Based Image Retrieval. Tech. Rep. JTAP-039, JISC Technology Application Program, Newcastle upon Tyne, (2000)
    • (2000) Tech. Rep. , vol.JTAP-039
    • Eakins, J.P.1    Graham, M.E.2
  • 7
    • 0026836060 scopus 로고
    • Rotation-invariant neural pattern recognition system with application to coin recognition
    • Fukumi, M., Omatu, S., Takeda, F., Kosaka, T.: Rotation-Invariant Neural Pattern Recognition System with Application to Coin Recognition. IEEE Tr. on Neural Networks, Vol. 3, No. 2 (1992) 272-279
    • (1992) IEEE Tr. on Neural Networks , vol.3 , Issue.2 , pp. 272-279
    • Fukumi, M.1    Omatu, S.2    Takeda, F.3    Kosaka, T.4
  • 8
    • 35048867574 scopus 로고    scopus 로고
    • Program size and pixel statistics in genetic programming for object detection
    • Proc. 6th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EVOIASP), Springer, Berlin
    • Zhang, M., Bhowan, U.: Program Size and Pixel Statistics in Genetic Programming for Object Detection. Proc. 6th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EVOIASP), LNCS 3005, Springer, Berlin, (2004) 379-388
    • (2004) LNCS , vol.3005 , pp. 379-388
    • Zhang, M.1    Bhowan, U.2
  • 9
    • 33749841816 scopus 로고    scopus 로고
    • A new approach to coin recognition using neural pattern analysis
    • Annual IEEE
    • Bremananth, R., Balaji, B., Sankar, M., Chitra, A.: A New Approach to Coin Recognition Using Neural Pattern Analysis. Proc. INDICON, Annual IEEE, (2005) 366-370
    • (2005) Proc. INDICON , pp. 366-370
    • Bremananth, R.1    Balaji, B.2    Sankar, M.3    Chitra, A.4
  • 14
    • 0033075128 scopus 로고    scopus 로고
    • A new methodology for efficient classification of multispectral satellite images using neural network techniques
    • Vassilas, N., Charou, E.: A New Methodology for Efficient Classification of Multispectral Satellite Images Using Neural Network Techniques. Neural Processing Letters, Vol. 9, No. 1 (1998) 35-43
    • (1998) Neural Processing Letters , vol.9 , Issue.1 , pp. 35-43
    • Vassilas, N.1    Charou, E.2
  • 15
    • 33749821552 scopus 로고    scopus 로고
    • Efficient neural network-based methodology for the design of multiple classifiers
    • Jain, L.C., Fanelli, A-M. (eds.): CRC Press, New York
    • Vassilas, N.: Efficient Neural Network-Based Methodology for the Design of Multiple Classifiers. In: Jain, L.C., Fanelli, A-M. (eds.): Recent Advances in Artificial Neural Networks - Design and Applications. CRC Press, New York (2000) 95-125
    • (2000) Recent Advances in Artificial Neural Networks - Design and Applications , pp. 95-125
    • Vassilas, N.1


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