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  1. No Access

    Chapter

    Penacée: A Neural Net System for Recognizing On-Line Handwriting

    We report on progress in handwriting recognition and signature verification. Our system, which uses pen-trajectory information, is suitable for use in pen-based computers. It has a multimodular architecture wh...

    I. Guyon, J. Bromley, N. Matić, M. Schenkel, H. Weissman in Models of Neural Networks III (1996)

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    Article

    On-line cursive script recognition using time-delay neural networks and hidden Markov models

    We present a writer-independent system for online handwriting recognition that can handle a variety of writing styles including cursive script and handprinting. The input to our system contains the pen traject...

    M. Schenkel, I. Guyon, D. Henderson in Machine Vision and Applications (1995)

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    Chapter

    Optical Character Recognition and Neural-Net Chips

    Neural Network research has always interested hardware designers, theoreticians, and application engineers. But until recently, the common ground between these groups was limited: the neural-net chips were too...

    Y. Le Cun, L. D. Jackel, H. P. Graf, B. Boser in International Neural Network Conference (1990)

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    Chapter and Conference Paper

    Handwritten Digit Recognition: Applications of Neural Net Chips and Automatic Learning

    We describe two neural-net approaches to digit recognition. One method uses a neural-network chip to perform line thinning and local feature extraction. This preprocessing stage was designed by hand and did no...

    Y. Le Cun, L. D. Jackel, B. Boser, J. S. Denker, H. P. Graf, I. Guyon in Neurocomputing (1990)

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    Chapter and Conference Paper

    Of Points and Loops

    New learning rules for the storage and retrieval of temporal sequences, in neural networks with parallel synchronous dynamics, are presented. They allow either one-shot, non-local learning, or slow, local lear...

    I. Guyon, L. Personnaz, G. Dreyfus in Neural Computers (1989)

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    Chapter and Conference Paper

    Neural Networks for Associative Memory Design

    The recent wave of interest in cellular structures known as neural networks is due, in large part, to the advent of a new model [1] which turned out to be amenable to analytical results with the tools of stati...

    L. Personnaz, I. Guyon, G. Dreyfus in Computational Systems — Natural and Artificial (1987)

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    Chapter and Conference Paper

    Engineering applications of spin glass concepts

    I. Guyon, L. Personnaz, P. Siarry, G. Dreyfus in Heidelberg Colloquium on Glassy Dynamics (1987)

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    Article

    A biologically constrained learning mechanism in networks of formal neurons

    A new learning mechanism is proposed for networks of formal neurons analogous to Ising spin systems; it brings such models substantially closer to biological data in three respects: first, the learning procedu...

    L. Personnaz, I. Guyon, G. Dreyfus, G. Toulouse in Journal of Statistical Physics (1986)

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    Chapter and Conference Paper

    Neural Network Design for Efficient Information Retrieval

    The ability of neural networks to store and retrieve information has been investigated for many years. A renewed interest has been triggered by the analogy between neural networks and spin glasses which was po...

    L. Personnaz, I. Guyon, G. Dreyfus in Disordered Systems and Biological Organization (1986)