Fast Learning and Invariant Object Recognition
The Sixth Generation Breakthrough
Published on 7. May 1992
Book
Hardback
300 pages
978-0-471-57430-9 (ISBN)
Description
Learning, generalization, seeing and recognition are the major features of natural intelligence. This guide describes man-made systems that integrate these features, including high-speed architectures and system organizations suitable for industrial applications.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
John Wiley and Sons Ltd
Target group
Professional and scholarly
Dimensions
Height: 242 mm
Width: 162 mm
Weight
624 gr
ISBN-13
978-0-471-57430-9 (9780471574309)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
FAST LEARNING; Learning to See (A. Franich & B. Sou ek); Fast Back Propagation with Adaptive Decoupled Momentum (A. Minai & R. Williams); Second Order Gradient Methods in Back Propagation (S. Piramuthu); Constructing Efficient Features for Back Propagation (S. Piramuthu); How Slow Processes Can Think Fast in Concurrent Logic?; (F. Kozato & G. Ringwood); How to Deal with Multiple Possible Generalizers (D. Wolpert); Infinitesimal Versus Discrete Methods in Neural Network Synthesis (A. Albrecht); Systolic Array Implementation of Neural Networks (J. Chung, et al.); INVARIANT OBJECT RECOGNITION; Translation Invariant Neural Networks (S. Wilson); Higher Order Neural Networks in Position, Scale, and Rotation Invariant Object Recognition (L. Spirkovska & M. Reid); Visual Tracking with Object Classification: Neural Network Approach (A. Dobnikar, et al.); A Neural Network Approach to Landmark Based Shape Recognition (N. Ansari & K. Li); Directed and Undirected Segmentation of Three-Dimensional Ultrasonograms (R. Silverman); Implementation of Neural Networks on Parallel Architectures and Invariant Object Recognition (M. Misra & V. Prasanna); Index.