A Continuous Learning for Solving a Face Recognition Problem
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[1] Zhi-Hua Zhou,et al. Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble , 2005, IEEE Transactions on Neural Networks.
[2] Farooq Azam,et al. Biologically Inspired Modular Neural Networks , 2000 .
[3] David Zhang,et al. Modular Neural Networks and Their Applications in Biometrics , 2007, Trends in Neural Computation.
[4] Aldo Franco Dragoni,et al. Belief revision: from theory to practice , 1997, The Knowledge Engineering Review.
[5] Eduardo L. Fermé,et al. Belief Revision , 2007, Inteligencia Artif..
[6] Harry Wechsler,et al. The FERET database and evaluation procedure for face-recognition algorithms , 1998, Image Vis. Comput..
[7] Yong Deng,et al. Evaluating Sensor Reliability in Classification Problems Based on Evidence Theory , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[8] Gerhard Brewka,et al. Preferred Subtheories: An Extended Logical Framework for Default Reasoning , 1989, IJCAI.
[9] Zhi-Hua Zhou,et al. Face recognition from a single image per person: A survey , 2006, Pattern Recognit..
[10] M. W. Shields,et al. A theoretical framework for multiple neural network systems , 2008, Neurocomputing.
[11] Amanda J. C. Sharkey,et al. Modularity, Combining and Artificial Neural Nets , 1997, Connect. Sci..
[12] Azriel Rosenfeld,et al. Face recognition: A literature survey , 2003, CSUR.
[13] Teuvo Kohonen,et al. Learning vector quantization , 1998 .
[14] A. A. El-Harby,et al. Face Recognition: A Literature Review , 2008 .
[15] T. Kohonen,et al. Appendix 2.4 Stopping Rule 2.3 Fine Tuning Using the Basic Lvq1 or Lvq2.1 Lvq Pak: a Program Package for the Correct Application of Learning Vector Quantization Algorithms , 1992 .
[16] Roberto Brunelli,et al. Face Recognition: Features Versus Templates , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[17] M. V. Velzen,et al. Self-organizing maps , 2007 .