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Signal processing algorithms.
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ISBN: 0138094357 Year: 1988 Publisher: Englewood Cliffs (N.J.) : Prentice-Hall,

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Image segmentation and uncertainty
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ISBN: 086380067X 0471918261 9780863800672 9780471918264 Year: 1988 Volume: 9 Publisher: Letchworth Research studies press

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Digital pictures : representation and compression
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ISBN: 0306427915 1468412965 1468412949 9780306427916 Year: 1988 Publisher: New York (N.Y.) : Plenum press,

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The art of digital audio
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ISBN: 0240512707 Year: 1988 Publisher: London Focal press

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Image synthesis : elementary algorithms
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ISBN: 0262081660 Year: 1988 Publisher: Cambridge, Mass. London MIT Press


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Digital and optical shape representation and pattern recognition
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ISBN: 0892529733 Year: 1988 Publisher: Bellingham SPIE

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Mathematics and computer science in medical imaging : proceedings of the Nato Advanced Study Institute on..., held in Ciocco, September 21-October 4, 1986
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ISBN: 3540186727 364283308X 3642833063 Year: 1988 Volume: vol 39 Publisher: Berlin Heidelberg New York Springer

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A digital signal processing laboratory using the TMS32010
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ISBN: 0132123916 Year: 1988 Publisher: Englewood Cliffs, N.J. : Prentice Hall,

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Digital signal processing : a system design approach
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ISBN: 0471837881 Year: 1988 Publisher: New York : Wiley,

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Image understanding in unstructured environment
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ISBN: 1283635763 9812812393 9789812812391 6613948225 9786613948229 9781283635769 9971504774 9789971504779 9971504782 9789971504786 Year: 1988 Publisher: Singapore ; Teaneck, N.J. : World Scientific,

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In the development of autonomous sensory controlled systems, image understanding of sensory data is a difficult but important topic. Due to the unpredictable and uncertain nature of the environment, current image processing and computer vision approaches are not adequate to provide the capabilities needed by the systems. Thus, new approaches are required in the overall system design, including sophisticated reasoning processes, uncertainty management and adaptable architectures. This general issue is addressed by Thomas M Strat and Grahame B Smith. Lashon B Booker discusses the Bayesian approa

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