Del 3 - Series In Machine Perception And Artificial Intelligence

Neural Networks In Vision And Pattern Recognition

Häftad, Engelska, 1992

Av SKRZYPEK J, Walter Karplus, Josef Skrzypek

1 259 kr

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The neural network paradigm with its various advantages might be the next promising bridge between artificial intelligence and pattern recognition that will help with the conceptualization of new computational artifacts. This volume contains ten papers which represent some of the work being done in the field, such as in computational neuroscience, pattern recognition, computational vision, and applications.

Produktinformation

Utgivningsdatum1992-07-01
Mått165 x 246 x 13 mm
Vikt376 g
FormatHäftad
SpråkEngelska
SerieSeries In Machine Perception And Artificial Intelligence
Antal sidor224
FörlagWorld Scientific Publishing Co Pte Ltd
ISBN9789810237660

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it

Lightness constancy from luminance contrast, J. Skrzypek and D. Gungner; bringing the grandmother back into the picture - a memory-based view of object recognition, S. Edelman and T. Poggio; internal organization of classifier networks trained by backpropagation, D.F. Michaels; system identification with artificial neural networks, E.R. Tisdale and W.J. Karplus; mixed finite element based neural networks in visual reconstruction, D. Suter; the random "Neural" network model for texture generation, V. Atalay, et al; neural networks for collective translational invariant object recognition, L.W. Chan; image recognition and reconstruction using associative magnetic processing, J.M. Goodwin, et al; incorporating uncertainty in neural networks, B.R. Kammerer; neural networks for the recognition of engraved musical scores, P. Martin and C. Bellissant.