Adaptive Cooperative Systems - Martin Beckerman

Adaptive Cooperative Systems

Buch | Hardcover
440 Seiten
1997
John Wiley & Sons Inc (Verlag)
978-0-471-01287-0 (ISBN)
113,31 inkl. MwSt
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In this work, the author presents a theory of co-operative computation, as applied to perceptual inferencing problems. The problems addressed include the integration of multiple sensory information (multiuser fusion), figure-ground segregation, and the segmentation of visual images.
A co-operative process is one in which locally organized elements interact in a co-operative manner to achieve an overall, global order. Such processes are widespread in physical and biological systems - their elements may be pixels in a digital image, neurons in the central nervous system, or atoms in a solid lattice. In this work, the author presents a theory of co-operative computation, as applied to perceptual inferencing problems. The problems addressed include: the integration of multiple sensory information (multi-user fusion); figure-ground segregation; the segmentation of visual images; attention; the self-organization of feature detecting neurons; and short-term plasticity.

MARTIN BECKERMAN, PhD, is a member of the scientific research staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory in Oak Ridge, Tennessee.

Thermodynamics, statistical mechanics and the metropolis algorithm; co-operativity in lattice systems; simulated annealing; the patterning of neural connections; Markov random fields; the approach to equilibrium; synaptic plasticity; rhythms and synchrony.

Erscheint lt. Verlag 25.4.1997
Reihe/Serie Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Zusatzinfo Illustrations
Verlagsort New York
Sprache englisch
Maße 240 x 160 mm
Gewicht 822 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Technik Nachrichtentechnik
ISBN-10 0-471-01287-4 / 0471012874
ISBN-13 978-0-471-01287-0 / 9780471012870
Zustand Neuware
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