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Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology

Copyright: © 2012 |Pages: 330
ISBN13: 9781609607869|ISBN10: 1609607864|EISBN13: 9781609607876
DOI: 10.4018/978-1-60960-786-9
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MLA

Papaodysseus, Constantin, editor. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology. IGI Global, 2012. https://doi.org/10.4018/978-1-60960-786-9

APA

Papaodysseus, C. (Ed.). (2012). Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology. IGI Global. https://doi.org/10.4018/978-1-60960-786-9

Chicago

Papaodysseus, Constantin, ed. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-60960-786-9

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Computer science—especially pattern recognition, signal processing and mathematical algorithms—can offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches.

Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Preface
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Chapters
Back Materials
Compilation of References
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About the Contributors
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Index
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