Search Results - "Simard, P Y"

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  1. 1

    Time is of the essence: a conjecture that hemispheric specialization arises from interhemispheric conduction delay by Ringo, J L, Doty, R W, Demeter, S, Simard, P Y

    Published in Cerebral cortex (New York, N.Y. 1991) (01-07-1994)
    “…Tomasch (1954) and Aboitiz et al. (1992) found the majority of the fibers of the human corpus callosum are under 1 micron in diameter. Electron microscopic…”
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    Journal Article
  2. 2

    Restoration of the velocity field of the heart from two-dimensional echocardiograms by Mailloux, G.E., Langlois, F., Simard, P.Y., Bertrand, M.

    Published in IEEE transactions on medical imaging (01-06-1989)
    “…A method to quantify the motion of the heart from digitized sequences of two-dimensional echocardiograms (2-D) echos was recently proposed. This method…”
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    Journal Article
  3. 3

    A projection operator for the restoration of divergence-free vector fields by Simard, P.Y., Mailloux, G.E.

    “…The theory of image restoration by projection onto convex sets can also be applied to the restoration of vector fields. These can have properties that restrict…”
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    Journal Article
  4. 4

    A wavelet coder for masked images by Simard, P.Y., Malvar, H.S.

    “…This paper presents an algorithm for the compression of images that have "don't care" regions within them. Such regions are specified by an additional binary…”
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    Conference Proceeding
  5. 5

    Metrics and Models for Handwritten Character Recognition by Hastie, Trevor, Simard, Patrice Y.

    Published in Statistical science (01-02-1998)
    “…A digitized handwritten numeral can be represented as a binary or greyscale image. An important pattern recognition task that has received much attention…”
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    Journal Article
  6. 6
  7. 7

    Using GPUs for machine learning algorithms by Steinkraus, D., Buck, I., Simard, P.Y.

    “…Using dedicated hardware to do machine learning typically ends up in disaster because of cost, obsolescence, and poor software. The popularization of graphic…”
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    Conference Proceeding
  8. 8

    Text recognition of low-resolution document images by Jacobs, C., Simard, P.Y., Viola, P., Rinker, J.

    “…Cheap and versatile cameras make it possible to easily and quickly capture a wide variety of documents. However, low resolution cameras present a challenge to…”
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    Conference Proceeding
  9. 9

    Memory-based character recognition using a transformation invariant metric by Simard, P.Y., Yann Le Cun, Denker, J.S.

    “…Memory-based classification algorithms such as radial basis functions or K-nearest neighbors often rely on simple distances (Euclidean distance, Hamming…”
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    Conference Proceeding
  10. 10

    Ink normalization and beautification by Simard, P.Y., Steinkraus, D., Agrawala, M.

    “…Handwriting recognition is difficult because of the high variability of handwriting and because of segmentation errors. We propose an approach that reduces…”
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    Conference Proceeding
  11. 11

    Using character recognition and segmentation to tell computer from humans by Simard, P.Y., Szeliski, R., Benaloh, J., Couvreur, J., Calinov, I.

    “…How do you tell a computer from a human? The situation arises often on the Internet, when online polls are conducted, accounts are requested, undesired email…”
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    Conference Proceeding
  12. 12

    A foreground-background separation algorithm for image compression by Simard, P.Y., Malvar, H.S., Rinker, J., Renshaw, E.

    “…Many bitmap documents are composed by the superposition of layers with pictures and text. These documents do not compress well using image compression…”
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    Conference Proceeding