Abstract
Humans and other animals survive in their complex and changing environments by using sophisticated sensory systems to detect, classify, and interpret patterns of input stimulation. For over two decades workers i i artificial intelligence have been trying to approximate mechanically the performance of that ultimate in biological pattern recognizers, human vision. (We will not consider equally important but less numerous efforts toward auditory pattern processing, such as mechanical speech recognition.) Despite this tremendous research investment computers still cannot “see” even a fraction as well as people. In this chapter we look at a few selected pieces of pattern recognition research in order to get an idea of what has been done and how much remains to be accomplished.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
Guzman, Adolfo. “Decomposition of a visual scene into three-dimensional bodies.” Proceedings of the Fall Joint Computer Conference, 1968 (AFIPS Conference Proceedings, 33, Part 1), pp. 291–304. Thompson Book Co., 1968.
Grasselli, A. (ed.). Automatic Interpretation and Classification of Images. Academic Press, 1969.
Minsky, Marvin, and Papert, Seymour. Perceptrons: An Introduction to Computational Geometry. MIT Press, 1969.
Nilsson, Nils J. Learning Machines. McGraw-Hill, 1965.
Hunt, Earl B. Artificial Intelligence. Academic Press, 1975.
Jackson, Philip C. Introduction to Artificial Intelligence. Petrocelli Books, 1974.
Rosenblatt, Frank. Principles of Neurodynamics. Spartan Books, 1962.
Selfridge, Oliver G. “Pandemonium: A paradigm for learning.” In Mechanization of Thought Processes, HMSO, 1959.
Uhr, Leonard (ed.). Pattern Recognition. Wiley, 1966.
Uhr, Leonard, and Vossler, Charles. “A pattern-recognition program that generates, evaluates, and adjusts its own operators.” Proceedings of the Western Joint Computer Conference, 1961.
Winston, Patrick (ed.). The Psychology of Computer Vision. McGraw-Hill, 1975.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1976 Springer-Verlag New York Inc.
About this chapter
Cite this chapter
Sampson, J.R. (1976). Pattern recognition. In: Adaptive Information Processing. Texts and Monographs in Computer Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85501-6_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-85501-6_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-85503-0
Online ISBN: 978-3-642-85501-6
eBook Packages: Springer Book Archive