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Стратегии детекции в рампознавании лиц / Detection Strategies For Face Recognition Using Learning And Evolution Phd Dissertation 1998

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Maes, P. (1992), Behavior-based AI, in J. A. Meyer, H. L. Roitblat, and S. W. Wilson (Eds.), From Animals to Animats 2, MIT Press.

Manning, A. (1979), An Introduction to Animal Behavior, 3rd ed., Addison-Wesley Publication Co., Reading, MA.

Meyer, J. A. and A. Guillot (1991), simulation of Adaptive Behavior in Animats: Review and Prospect, From Animals to

Animats: Proc. of the 1st Conf. On Simulation of Adaptive Behavior, MIT press, Cambridge, MA.

Michalski R. (1994), Inferential Theory of Learning: Developing Foundations for Multistrategy Learning, in Machine Learning: A Multistrategy Approach, Vol. IV, R.S. Michalski and G. Tecuci (Eds.), Morgan Kaufmann, San Mateo, CA., pp.3-61.

Minsky, M. (1985), The Society of Mind, Simon & Schuster Inc., N.Y.

Moghaddam, B. and A. Pentland (1995), Probabilistic visual learning for object detection, 5th Int. Conf. on Computer Vision, Cambridge, MA.

Morgan, C. L. (1896), On Modification and Variation. Science, 4, 733-740.

Mü hlenbein, H., and J. Kinderman (1989), The dynamics of Evolution and Learning. Toward Genetic Neural Networks, in R. Pfeifer, Z. Schreter, F. Fogelman-Soulie, and L. Steels (Eds.), Connectionism in Perspective, Elsevier Science, pp. 173-197.

Neven, H. and A. Aertsen (1992), "Rate coherence and event coherence in the visual cortex: A Neuronal model of object recognition", Biol. Cybernetics, Vol. 67, pp.309-322.

Phillips, P. J. (1994), Matching Pursuit Filter Design, Proc. of the International Conference on Pattern Recognition (ICPR) , Vol. 3, pp.57-61, Jerusalem, Israel.

Quinlan, J. R. (1986), The effect of noise on concept learning, in Machine Learning: an Artificial Intelligence Approach, edited by R.S. Michalski, J.G. Carbonell and T.M. Mitchell, Morgan Kaufmann, San Mateo, CA, pp.149-166.

Ramachandran, V.S. (1985), Apparent motion of subjective surfaces, Perception, 14, pp.127-134.

Reynolds, C.W. (1978), Flocks, herds and schools: A distributed behavioral model, Computer Graphics, Vol.21, No.4, pp.25-34. Robertson, G. and I. Craw (1994), Testing Face Recognition Systems, Image and Vision Computing 19, pp. 609-614.

Roitblat, H. L. (1987), Introduction to Comparative Cognition, Freeman, New York.

Rowley, H. A., Baluja, S. and T. Kanade (1995), Human Face Detection in Visual Scenes, Technical Report, CMU-CS-95-158. Russell, S. (1996), Machine Learning, Artificial Intelligence, Edited by Margaret A. Boden, Academic Press.

Samal, A., and P. Iyengar (1992), Automatic recognition and analysis of human faces and facial expressions: A Survey, Pattern

Recognition, Vol. 25, 65-77.

Samaria, F. S., and A. C. Harter (1994), Parameterisation of a Stochastic Model for Human Face Identification, 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, Florida.

Sirovich, L. and M. Kirby (1987), Low-dimensional Procedure for the Characterization of Human Faces, J. Opt. Soc. Am. A, Vol. 4, No. 3, pp.519-524.

Spitzer, H., R. Desimone, and J. Moran (1988), Increased Attention Enhances both Behavioral and Neuronal Performance,

Science, 240, pp.338-340.

Sung, K. K. and T. Poggio (1994), Example-based Learning for View-based Human Face Detection, MIT AI Lab. technical report, Dec. 1994.

Swets, D. L. and J. Weng (1996), Using Discriminant Eigenfeatures for Image Retrieval, IEEE Trans. on PAMI, Vol. 18, No. 8, pp.831-836.

Takacs B. and H. Wechsler (1995), Face Location Using a Dynamic Model of Retinal Feature Extraction, Proc. of International Workshop on Automatic Faceand Gesture Recognition (IWAFGR), pp.243-247, Zurich, Switzerland.

61

Terzopoulos, D., X. Tu, and R. Grzeszczuk (1995), Artificial Fishes: Autonomous Locomotion, Perception, Behavior, and Learning in a Simulated Physical World, Artificial Life, Vol.1, No.4, pp.327-351.

Tsao, T. T. and V. C. Chen (1993), Gabor-Wavelet Pyramid for the Extraction of Image Flow, in Proceedings of SPIE Mathematical Imaging: Wavelet Applications in Signal and Image Processing.

Turk, M. and A. Pentland (1991), Eigenfaces for Recognition, Journal of Cognitive Neuroscience, Vol. 3, No. 1, pp.71-86. Ullman, S. (1984), Visual routines, Cognition, Vol.18, pp.97-159.

Vafaie, H., and De Jong, K. (1994), Improving a Rule Induction System Using Genetic Algorithms, in R.S. Michalski and G. Tecuci (Eds.), Machine Learning: A Multistrategy Approach, Vol. IV, Morgan Kaufmann, San Mateo, CA., pp. 453-469.

Von Neumann, J., (1966) The Theory of Self-Reproducing Automata, University of Illinois Press, Edited and completed by A. W. Burks.

Wechsler H. (1993), Perspective on Evolution and the Lamarckian Hypothesis Using artificial Worlds and Genetic Algorithms,

Revue Internationale de Systemique, Vol. 7, No. 5, pp. 573-592.

Whitley, D., V. S. Gordon, and K. Mathias. (1994), Lamarckian Evolution, the Baldwin Effect, and Function Optimization, in Y. Davidor, H. P. Schwefel, and R. Manner (Eds.), PPSN III, Springer Verlag, pp. 6-15.

Wiskott, L., J. M. Fellous, N. Kryger, and C. Malsburg (1997), Face Recognition by Elastic Bunch Graph Matching, IEEE Trans. on PAMI, Vol.19, No. 7.

Yang, G. and T. S. Hunag (1993). Human Face Detection in a Complex Background, Pattern Recognition, Vol. 27, No. 38, pp.53-63.

Yeshurun, Y., D. Reisfeld, and H. Wolfson (1991), Symmetry: A Context Free Cue for Foveated Vision, Neural Networks for Pattern Recognition (Vol. 1.), H. Wechsler, (Ed.), Academic Press.

Yuille, A. L. (1991), Deformable Templates for Face Recognition, J. Cognitive Neuroscience, vol. 3, no. 1, pp.59-70.

62