Jonathan A. Marshall (1994) Synonyms, Embedding, Segmentation, and the Banana Problem
. Psycoloquy: 5(32) Pattern Recognition (5)
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Psycoloquy 5(32): Synonyms, Embedding, Segmentation, and the Banana Problem
SYNONYMS, EMBEDDING, SEGMENTATION, AND THE BANANA PROBLEM
Book review of Nigrin on Pattern Recognition
Jonathan A. Marshall
Department of Computer Science
CB 3175, Sitterson Hall
University of North Carolina
Chapel Hill, NC 27599-3175, U.S.A.
Fax: 919-962-1799
marshall@cs.unc.edu
Abstract
Nigrin's Neural Networks for Pattern Recognition (1993)
presents several very interesting advances in neural network
methods. The book is well written, self contained, and accessible
both to experts in neural networks and to intelligent novices. It
provides a brief but readily understandable introduction to
self-organizing neural networks, including the ART networks. It
then describes in depth Nigrin's own theories of self-organizing
neural networks for pattern recognition. Nigrin's work addresses,
in new ways, some fundamental questions, such as unsupervised
context-sensitive segmentation of patterns in continuous input
streams, fast but stable learning, and simultaneous learning of
multiple patterns.
Keywords
clustering, embedded pattern recognition, neural networks,
segmentation, synonym representation, translation invariance.
References
- Nigrin, A. (1993). Neural Networks for Pattern Recognition. The MIT Press, Cambridge, MA.
- Nigrin, A. (1994). Precis of Neural Networks for Pattern Recognition. PSYCOLOQUY 5(2) pattern-recognition.1.nigrin.
- Carpenter G. & Grossberg, S. (1987) A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine. Computer Vision, Graphics, and Image Processing 37 :54-115.
- Cohen M. & Grossberg S. (1987) Masking Fields: A Massively Parallel Neural Architecture for Learning, Recognizing, and Predicting Multiple Groupings of Data. Applied Optics. 26: 1866-1891.
- Marshall J.A. (1992) Development of Perceptual Context-Sensitivity in Unsupervised Neural Networks: Parsing, Grouping, and Segmentation. Proceedings of the International Joint Conference on Neural Networks, Baltimore, MD, III :315-320.
- Reggia J.A., Dautrechy C.L., Sutton G.G. & Weinrich M. (1992) A Competitive Distribution Theory of Neocortical Dynamics. Neural Computation 4(3): 287-317.