ADVANCES IN PATTERN RECOGNITION SYSTEMS USING NEURAL NETWORK TECHNOLOGIES

A connectionist approach to speech recognition, Y. Bengio; signature verification with a Siamese TDNN, J. Bromley et al; boosting performance in neural networks, H. Drucker et al; an integrated architecture for recognition of totally unconstrained hand-written numerals, A. Gupta et al; time warping network - a neural approach to hidden Markov model-based speech recognition, E. Levin et al; computing optical flow with a recurrent neural network, H. Li and J. Wang; integrated segmentation and recognition through exhaustive scans or learned Saccadic jumps, G. Martin et al; experimental comparison of the effect of order in recurrent neural networks, C.B. Miller and C.L. Giles; adaptive classification by neural net based prototype populations, K. Peleg and U. Ben Hanan; a neural system for the recognition of partially occluded objects in cluttered scenes - a pilot study, L. Wiskott and C. von der Malsburg. (Part contents).