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Synergetic Computers and Cognition
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Author(s):
Hermann Haken
Publication date
(Print):
1991
Publisher:
Springer Berlin Heidelberg
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Book
ISBN (Print):
978-3-662-22452-6
ISBN (Electronic):
978-3-662-22450-2
Publication date (Print):
1991
DOI:
10.1007/978-3-662-22450-2
SO-VID:
4431ac63-2cc2-46e5-ba73-e0e69f4b81d8
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http://www.springer.com/tdm
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Book chapters
pp. 1
Goal
pp. 9
What are Patterns?
pp. 18
Associative Memory
pp. 20
Synergetics — An Outline
pp. 36
The Standard Model of Synergetics for Pattern Recognition
pp. 51
Examples: Recognition of Faces and of City Maps
pp. 56
Possible Realizations by Networks
pp. 60
Simultaneous Invariance with Respect to Translation, Rotation and Scaling
pp. 81
Recognition of Complex Scenes. Scene-Selective Attention
pp. 84
Learning Algorithms
pp. 121
Learning of Processes and Associative Action
pp. 133
Comparisons Between Human Perception and Machine “Perception”
pp. 149
Oscillations in the Perception of Ambiguous Patterns
pp. 171
Dynamic Pattern Recognition of Coordinated Biological Motion
pp. 191
Realization of the Logical Operation XOR by a Synergetic Computer
pp. 195
Towards the Neural Level
pp. 211
Concluding Remarks and Outlook
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