FBWN: An architecture of fast beta wavelet networks for image classification

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2010, Pages

  Jemai, Olfa ^a,b   Zaied, Mourad ^a,c   Ben Amar, Chokri ^a   Alimi, Adel M ^a  

^a UNIVERSITY OF SFAX   (Tunisia)

^b UNIVERSITY OF GABES   (Tunisia)

^c UNIVERSITY OF GABES   (Tunisia)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; LEARNING ALGORITHMS; WAVELET TRANSFORMS;

BACK-PROPAGATION ALGORITHM; BETA WAVELET NETWORKS; FAST WAVELET TRANSFORM; HIDDEN LAYERS; IMAGES CLASSIFICATION; OUTPUT LAYER; PERFORMANCE; SUPERVISED METHODS; WAVELET NETWORK; WAVELET NETWORK MODELS;

IMAGE CLASSIFICATION;

EID: 79959466129     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2010.5596876     Document Type: Conference Paper

References (47)

1. L. Chunguang, W. Peng, E. Javier, Complex-valued wavelet network, J. Comput. System Sci., 67 (3) (2003) 623-632.
2. Q. Zhang and A. Benveniste, "Wavelet network". IEEE Trans.Neural Network, Vol.3,pp.889-898, Nov 1992.
3. Y. C. Pati and P. S. Krishnaprasad, "Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations". IEEE Trans. Neural Networks, Vol.4, pp.73-85, Jan.1993.
4. C. Ben Amar and O. Jemai, Wavelet Networks Approach-based Image Compression, ICGST International Journal on Graphics, Vision and Image Processing, Vol. SI1, pp. 37-45, May 2005.
5. R. K. H. Galvao, Takashi Yoneyama, "A Competitive Wavelet Network for Signal Clustering". IEEE Trans.Systems,Man,And Cybernetics-Part B:Cybernetics, vol.34, pp.1282-1288, April 2004
6. M. Masmoudi, M. Samet and A.M. Alimi, A bipolar implementation of the Beta neuron, International Journal of Electronics, Volume 87, Issue 6, June 2000, Pages 675-682
7. S. Postalcioglu, Y. Becerikli, Wavelet networks for nonlinear system modeling. Neural Comput. Applic., vol.16, pp:433-441,2007
8. W. Bellil, M. Othmani, C. Ben Amar, "Initialization by Selection for multi library wavelet neural network training", Proceeding of the 3rd international workshop on artificial neural networks and intelligent information processing ANNIIP07, in conjunction with 4th international conference on informatics in control, automation and robotics, ICINCO, p. 30-37, 2007.
9. M. Othmani, W. Bellil and C. Ben Amar, "3D Object Modelling using Multi-mother Wavelet Network", International Conference on Neural Computation, Madeira Portugal, October 5-7, 2009.
10. M. Othmani, W. Bellil, C. Ben Amar and A. M. Alimi, A New Structure and Training Procedure for Multi-Mother Wavelet Networks, International Journal of Wavelets, Multiresolution and Information Processing, IJWMIP, vol. 8, issue 1, 2010, pp. 149-175.
11. Q. Zhang, "Using wavelet network in non parameters estimation", IEEE Trans. Neural Networks, 8 (1997) 227-236. (Pubitemid 127765118)
12. Y. Oussar, G. Dreyfus, Initialization by selection for wavelet network training, Neurocomputing, 34 (2002) 131-143.
13. X. Jinhua, W.C. Ho. Daniel, "A constructive algorithm for wavelet neural networks", First International Conference on Natural Computation, Changsha, China, 2005, pp. 730-739.
14. S. Qingmei, G. Yongchao, "A stepwise updating algorithm for multiresolution wavelet neural networks", in Proceedings of the International Conference on Wavelet Analysis and Its Applications (WAA), Chongqing, China, 2003, pp. 633-638.
15. C. Aouiti, A.M. Alimi, F. Karray and A. Maalej, "A hierarchical genetic algorithm for the design of beta basis function neural network", Proceedings of the International Joint Conference on Neural Networks, Volume 2, 2002, Pages 1246-1251.
16. C. Aouiti, A.M. Alimi, F. Karray and A. Maalej, A genetic-designed beta basis function neural network for multi-variable functions approximation, Systems Analysis Modelling Simulation, Volume 42, Issue 7, 1 January 2002, Pages 975-1009.
17. L. ChangGyoon, K. Kangchui, K. Eungkon, "Modeling for an adaptive wavelet network parameter learning using genetic algorithms," Proceedings of the Fifteenth IASTED International Conference on Modeling and Simulation, CA, USA, 2004, pp. 55-59.
18. I. Kallel, M. Jmaiel and A.M. Alimi, "A multi-agent approach for genetic algorithm implementation", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Volume 7, 2002, Pages 358-363.
19. Z. Zhiguo, Learning algorithm of wavelet network based on sampling theory, Neurocomputing 71 (2007), 244-269.
20. Z. Zhiguo, Iterative algorithm of wavelet network learning from non uniform data. Neurocomputing 72 (2009) 2979-2999.
21. A.M. Alimi, The Bta-Based Neuro-Fuzzy System: Genesis and Main Properties, TASK Quarterly Journal, Special Issue on Neural Networks edited by W. Duch and D. Rutkowska, vol. 7, no. 1, pp. 23-41, 2003.
22. M. Kherallah, L. Haddad, A.M. Alimi, A.M. and A. Mitiche, On-line handwritten digit recognition based on trajectory and velocity modeling, Pattern Recognition Letters, Volume 29, Issue 5, 1 April 2008, Pages 580-594
23. M. Zaied, C. Ben Amar and A.M. Alimi, "Award a New Wavelet Based Beta Function", Second International Conference on SIGNALS, SYSTEMS, DECISION and information technology IEEE, SSD'03,pages 185-191, Sousse-Tunisia Mars 2003.
24. M. Zaied, C. Ben Amar and A.M. Alimi, Beta Wavelet Networks for Face Recognition, Journal Of Decision Systems JDS, Lavoisier 2005 Edition, Vol. 14, N. 1-2/2005, pages 109-122. 2005.
25. W. Bellil, C. Ben Amar and A.M. Alimi, "Bta Wavelet Based Image Compression", International Conference on Signal, System and Design, SSD03, Tunisia, vol. 1, pp. 77-82, Mars, 2003.
26. W. Bellil, C. Ben Amar, M. Zaied and A.M. Alimi, "La fonction Bta et ses drives : vers une nouvelle famille d'ondelettes", First International Conference on Signal, System and Design, SCS'04, Tunisia, Mars, vol. 1,p. 201-207, 2004.
27. Y. Meyer, Ondelettes et oprateurs. I, Actualits Mathmatiques. [Current Mathematical Topics]. Hermann, Paris, 1990.
28. Y. Meyer, Ondelettes et oprateurs. II, Actualits Mathmatiques. [Current Mathematical Topics]. Hermann, Paris, 1990.
29. M. Misiti, Y. Misiti, G. Oppenheim and J. Poggi, Matlab Wavelet ToolBox, The MathWorks Inc., 2000.
30. R. Ejbali, Y. Benayed, M. Zaied, A.M. Alimi, "Wavelet Networks for phonemes Recognition", International Conference on Systems and Information Processing CSPA'09, May 02-04, 2009, Guelma-Algeria.
31. M. Zaied,O. Jemai and C. Ben Amar, Training of the Beta wavelet networks by the frames theory: Application to face recognition, The international Workshops on Image Processing Theory, Tools and Applications, Tunisia November 2008.
32. H. Shao, T. Svoboda, and L. V. Gool, ZuBuD - Zurich Buildings Database for Image Based Recognition, April 2003. [Online]. Available: http://www.vision.ee.ethz.ch/showroom/zubud/
33. J. Z. Wang , J. Li and G. Wiederhold, SIMPLIcity: Semanticssensitive Integrated Matching for Picture LIbraries, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.23, no. 9, pp. 947-963, 2001.
34. C. Ben Amar, M. Zaied and M. A. Alimi, Beta wavelets. Synthesis and application to lossy image compression, Journal of Advances in Engineering Software, Elsevier Edition, Vol. 36, N7, pages 459-474. 2005.
35. W. Bellil, C. Ben Amar and M.A Alimi, "Synthesis of wavelet filters using wavelet neural networks", Transactions on Engineering, Computation and Technology, vol. 13 . ISSN 1305-5313, pp 108-111, 2006.
36. O. Jemai, M. Zaied, C. Ben Amar and A.M. Alimi, Pyramidal hybrid approach: wavelet network with OLS algorithm based-image classification, International Journal of Wavelets, Multiresolution and Information Processing, December 2009.
37. S. Said, B. Ben Amor, M. Zaied, C. Ben Amar and M. Daoudi, "Vers une Reconnaissance Faciale 3D Robuste aux Expressions utilisant les Rseaux d'Ondelettes", sixime dition des ateliers de travail sur le traitement et l'analyse de l'information TAIMA'09, pages 23-28, Mai 2009, Hammamet-Tunisie
38. S. Said, B. Ben Amor, M. Zaied, C. Ben Amar and M. Daoudi, "Fast and efficient 3D face recognition using wavelet networks", 16th IEEE International Conference on Image Processing. pp. 4153-4156, 2009.
39. C. Ben Amar, W. Bellil, M.A. Alimi, "Beta Function and its Derivatives: A New Wavelet Family", Transactions on Systems, Signals and Devices, Vol.1, Number 3, p.275-293, 2005-2006.
40. W. Bellil, C. Ben Amar C. And A.M. Alimi, "Beta wavelets networks for function approximation", International Conference on Adaptative and Natural Computing Algorithms, ICANNGA05, Coimbra Portugal, SpringerWien NewYork, p. 18-21, 2005.
41. W. Bellil, C. Ben Amar and A.M. Alimi, "Comparison between beta Wavelets neural networks, RBF neural networks and polynomial approximation for 1D, 2D functions approximation", Transactions on Engineering, Computation and Technology, vol. 13 . ISSN 1305-5313, p. 102-107, 2006.
42. W. Bellil, C. Ben Amar C. and A.M. Alimi, "Multi Library Wavelet Neural Network for lossless image compression", International Review on Computers and Software (IRECOS), Vol. 2 N. 5, ISSN 1828-6003, p. 520-526, September 2007.
43. M. Zaied, C. Ben Amar, "Reconnaissances de visages par rseaux d'ondelettes Bta bi-ortogonales", cinquime dition des ateliers de travail sur le traitement et l'analyse de l'information TAIMA'07, pages 47-53, 23-27 mai 2007, Hammamet-Tunisie.
44. Gler and all, Recurrent neural networks employing Lyapunov exponents for EEG signals classification, Expert systems with applications, 29: 506-514, 2005.
45. R. Mare, Classification automatique d'images par arbres de dcision, Phd. thesis, Department of Electrical Engineering and Computer Science, University of Lige, February 2005.
46. H. Shao, T. Svoboda, V. Ferrari, T. Tuyelaars and L. Van Gool, "Fast indexing for image retrieval based on local appearance with re-ranking", In Proc. IEEE International Conference on Image Processing (ICIP 2003), September 2003.
47. T. Deselaers, D. Keysers and H. Ney, "Features for Image Retrieval: A Quantitative Comparison", In Proc.26th DAGM symposium on Pattern Recognition (DAGM 2004), Vol. LNCS 3175, pages:228-236, August/September 2004.