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2008, 1. Aufl., Wiley-Interscience series in discrete mathematics and optimization, ISBN 9780470168790, xvi, 252 p., [8] p. of plates
An accessible and multidisciplinaryintroduction to cellular automataAs the applicability of cellular automata broadens and technology advances, there is a need... 
Cellular automata | Discrete Mathematics
Book
2002, Lecture notes in computer science, ISBN 3540443045, Volume 2493., xi, 367
This volume contains the proceedings of the Fifth International Conference on Cellular Automata for Research and Industry (ACRI 2002) that was held in - neva... 
Cellular automata | Congresses | Computer science | Pattern Recognition | Computer simulation | Computer software | Computation by Abstract Devices | Simulation and Modeling | Optical pattern recognition | Algorithm Analysis and Problem Complexity
eBook
2016, Emergence, complexity and computation, ISBN 3319272691, Volume 20., ix, 191 pages
This fascinating, colourful book offers in-depth insights and first-hand working experiences in the production of art works, using simple computational models... 
Cellular automata
Book
1968, ACM monograph series., ix, 122
Book
1991, Santa Fe Institute studies in the sciences of complexity. Lecture notes., ISBN 0201528878, Volume 2, xvii, 189
Book
2009, ISBN 9781905986200, vii, 280
Book
1997, Collection Aléa-Saclay, ISBN 9780521552011, Volume 5., xxi, 297
The text is a self-contained, comprehensive introduction to the theory of hydrodynamic lattice gases. Lattice-gas cellular automata are discrete models of... 
Hydrodynamics | Mathematical models | Cellular automata | Computer simulation | Lattice gas
Book
2010, ISBN 9781615207886, x, 492
"The theme of this book is the use of Cellular Automatas (CAs) to model biological systems, describing 2-D CAs to create populations of "life-like agents" with... 
Biology | Mathematical models | Biocomplexity | Cellular automata
Book
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2015, Volume 7-12-, pp. 110 - 119
In this paper, we introduce Cellular Automata-a dynamic evolution model to intuitively detect the salient object. First, we construct a background-based map... 
Image segmentation | Image color analysis | Automata | Clustering algorithms | Coherence | Silicon | Bayes methods | Computer vision | Construction | Algorithms | Conferences | Evolution | Pattern recognition | Cellular automata | Boundaries
Conference Proceeding
1984, Advanced applications in pattern recognition., ISBN 0306417375, xviii, 340
Book
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