Spiking neural networks based cortex like mechanism: A case study for facial expression recognition

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2011, Pages 1637-1642

  Fu, Si Yao ^a   Yang, Guo Sheng ^a   Hou, Zeng Guang ^b  

^a MINZU UNIVERSITY OF CHINA   (China)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BASIC BUILDING BLOCK; COMPLEX PATTERN; COMPUTATIONAL MODEL; DATA SETS; DECISION SYSTEMS; DYNAMIC PROCESS; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FEED-FORWARD; FUNCTIONAL DECOMPOSITION; FUNCTIONAL PERFORMANCE; INFORMATION REPRESENTATION; LEARNING SCHEMES; NEURAL SYSTEMS; NEURON-UNITS; PRACTICAL IMPLEMENTATION; PROOF OF PRINCIPLES; PROTOTYPE MODELS; SPATIOTEMPORAL CHARACTERISTICS; SPIKING NEURAL NETWORKS; STANDARD DESIGN; STRUCTURE MODIFICATION; VISUAL CORTEXES;

COMPUTER SIMULATION; FACE RECOGNITION; GESTURE RECOGNITION; INTELLIGENT SYSTEMS;

NEURAL NETWORKS;

EID: 80054743864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2011.6033421     Document Type: Conference Paper

References (23)

1. S. B. Laughlin, T. J. Sejnowski, "Communication in Neuronal Networks," Science, 301: 1870 - 1874, 2003.
2. H. Barlow, "Possible principles underlying the transformation of sensory messages", Sensory Communication, 217-234, 1961.
3. K. Fukushima, S. Miyake, "Neocognitron, a self-organizing neural network model for a mechanism of visual pattern recognition," Lecture Notes in Biomathematics, Springer, 267-285, 1982.
4. M. Riesenhuber, T. Poggio, "Hierarchical models of object recognition in cortex," Nat. Neurosci, 2: 1019-1025. 1999.
5. T. Serre, L. Wolf, S. Bileschi, M. Riesenhuber, T. Poggio, "Robust object recognition with cortex-like mechanisms," IEEE Trans. Pattern Anal. Mach. Intell, 29: 411 C 426. 2007.
6. T. Serre, M. Kouh, C. Cadieu, U. Knoblich, G. Kreiman, and T.Poggio, A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex, AI Memo 2005-036/CBCL Memo 259, Massachusetts Inst. of Technology, Cambridge, 2005.
7. A. L. Hodgkin, A. F. Huxley, "A quantitative description of membrane current and its application to conduction and excitation in nerve,"J. Physiol, 117: 500-544, 1952.
8. W. Gerstern, W. M. Kistler, "Spiking neuron models, " Cambridge University Press, 2002.
9. E. Izhikevich, "Simple Model of Spiking Neurons," IEEE Transactions on Neural Networks, 14:1569-1572. 2003.
10. S. Thorpe, D. Fize, C. Marlot, "Speed of processing in the human visual system," Nature, 381: 520 C 522, 1996.
11. A. Delorme, J. Gautrais, R. vanRullen, S. Thorpe, "SpikeNET: a simulator for modeling large networks of integrate and fire neurons," Neurocomputing, 27: 989-996, 1999.
12. S. G. Wysoski, L. Benuskova, N. Kasabov, "Fast and adaptive network of spiking neurons for multi-view visual pattern recognition," Neurocomputing, 71: 2563-2575, 2008.
13. R. J. Dolan, "Emotion, Cognition, and Behavior," Science, 298: 1191-1194, (2002);
14. Z. P. Li, "Theoretical Understanding of the early visual processes by data compression and data selection ," Network: Computation in neural system, 17(4): 301-334, 2006.
15. A. J. Bell, T. J. Sejnowski,"The independent components of natural scenes are edge filters," Vision Research, 37(23): 3327-3338, 1997.
16. A. Hyvärinen, P. O. Hoyer, and M. Inki, "Topographic independent component analysis," Neural Computation, 13: 1527-1558, 2001.
17. JAFEE dataset, available at http://www.kasrl.org/jaffe.html.
18. F. Y. Shin, C. F. Chuang, "Performance Comparison of Facial Expression Recognition in JAFFE database," International Journal of Pattern Recognition and Artificial Intelligence, 22(3): 445 C 459, 2008.
19. H. B. Deng, L. W. Jin, L. X. Zhen, J. C. Huang, "A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA," International Journal of Information Technology, 11(11): 86-96, 2005.
20. S. Y. Fu, Z. G. Hou, G. S. Yang, "Multiple Kernel Learning with ICA: Local Discriminative Image Descriptors for Recognition," IJCNN, 2010.
21. Y. Tian, T. Kanade, and J. Cohn. "Evaluation of gabor wavelet based facial action unit recognition in image sequences of inceasing complexity," International Conference on Multi-Modal Interface,2002.
22. F. Cheng, J. Yu, and H. Xiong. "Facial expression recognition in JAFFE dataset based on gaussian process classification," Transaction on Neural Networks, 21(10):1685C1690, 2010.
23. W. Zheng, X. Zhou, C. Zou, and L. Zhao. "Facial expression recognition using kernel canonical correlation analysis," Transaction on Neural Networks, 17(1):233C238, 2006.