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Computer Architectures for Spatially Distributed Data

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Cover of 'Computer Architectures for Spatially Distributed Data'

Table of Contents

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    Book Overview
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    Chapter 1 Algorithm-Driven Architecture for Parallel Image Processing
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    Chapter 2 Architectures of SIMD Cellular Logic Image Processing Arrays
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    Chapter 3 Classification Schemes for Image Processing Architectures
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    Chapter 4 Representations of Spatially Parallel Architectures
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    Chapter 5 Computer Architecture for Interactive Display of Segmented Imagery
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    Chapter 6 The PASM System and Parallel Image Processing
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    Chapter 7 The Conversion Via Software of a SIMD Processor into a MIMD Processor
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    Chapter 8 VLSI Multiprocessor for Image Processing
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    Chapter 9 One, Two,… Many Processors for Image Processing
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    Chapter 10 Microcomputer and Software Architecture for Processing Sequences of Maps: Association of Successive Frames
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    Chapter 11 Disparity Based Scene Analysis
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    Chapter 12 Pyramid Architectures for Image Analysis
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    Chapter 13 Using Quadtrees to Represent Spatial Data
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    Chapter 14 Octrees: A Data Structure for Solid-Object Modeling
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    Chapter 15 Efficient Storage of Quadtrees and Octrees
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    Chapter 16 Image Processing with Hierarchical Cellular Logic
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    Chapter 17 Considerations on Pyramidal Pipelines for Spatial Analysis of Geoscience Map Data
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    Chapter 18 An Interpolation Method on Triangular Networks for Surface Model Architectures
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    Chapter 19 Introduction to a Simple But Unconventional Multiprocessor System and Outline of an Application
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    Chapter 20 Parallel Processing
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    Chapter 21 Parallel Algorithms for Hypotheses Generation in Continuous Speech
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Title
Computer Architectures for Spatially Distributed Data
Published by
Springer Berlin Heidelberg, November 2013
DOI 10.1007/978-3-642-82150-9
ISBNs
978-3-64-282152-3, 978-3-64-282150-9
Editors

Freeman, Herbert, Pieroni, Goffredo G.

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