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Aggarwal JK (2003) Problems, ongoing research and future directions in motion research Machine Vision And Applications 14:199-201 Aggarwal JK, Cai Q (1999) Human motion analysis: A review Computer Vision And Image Understanding 73:428-440 Bishop C (1995) Neural Networks For Pattern Recognition Calais EF, Legrand L (2000) Analysis and tracking of human gait via a marker-free system SPIE-Int. Soc. Opt. Eng. Proceedings of SPIE-the International Society for Optical Engineering 4067:252-260 Edwards PJ, Murray AF (1993) Analogue synaptic noise--implications and learning improvements. Int J Neural Syst 4:427-33 [PubMed] Gao Y, Xu G, Tsuji S (1994) Understanding human motion patterns Proceedings of the 12th IAPR International Conference on Pattern Recognition :325-328 Gavrila DM, Davis LS (1996) 3D model-based tracking of humans in action: A multi-view approach Proceedings of the 1996 IEEE Computer Society Conference on Computer Vision and Pattern Recognition :73-80 Gavrilla DM (1999) A visual analysis of human movement: A survey Computer Vision And Image Understanding 73:82-98 Grandvalet Y, Canu S, Boucheron S (1997) Noise injection: Theoretical prospects Neural Comput 9:1093-1108 Guozhong A (1996) The effects of adding noise during backpropagation training on a generalization performance Neural Comput 8:643-674 Ham FM, Kostanic I (2001) Principles of neurocomputing for science and engineering Hanson SJ (1990) A stochastic version of the delta rule Physica D 42:265-272 Haykin S (2002) Adaptive filter theory (4th ed) Johansson G (1973) Visual perception of biological motion and a model for its analysis Perception And Psychophysics 14:201-211 Levin RI, Lieven NAJ, Lowenberg MH (2000) Measuring and improving neural network generalization for model updating J Sound And Vibration 238:401-424 Matsuoka K (1992) Noise injection into inputs in backpropagation learning IEEE Trans Systems Man Cybern 22:436-440 O'Reilly RC (2001) Generalization in interactive networks: the benefits of inhibitory competition and Hebbian learning. Neural Comput 13:1199-241 [PubMed] Rumelhart DE, Hinton GE, Williams RJ (1986) Learning representations by back-propagating errors. Nature 323:533-536 Shiffrar M, Lorenceau J (1996) Increased motion linking across edges with decreased luminance contrast, edge width and duration. Vision Res 36:2061-7 [PubMed] Sietsma J, Dow RJF (1991) Creating artificial neural networks that generalize Neural Networks 4:67-79 Wren C, Azarbayejani A, Darrell T, Pentland A (1996) Real time tracking of the human body SPIE Proc 2615:89-98 Zell A, Mamier G, Vogt M, Mache N, Hubner R, Doring S, Herrmann K, Soyez T, Schmalzl M, Somme (1995) Stuttgart Neural Network Simulator (SNNS) Available online at http:--www-ra.informatik.uni-tuebingen.de-SNNS- |