Pattern Recognition Applications and Methods [electronic resource] : 5th International Conference, ICPRAM 2016, Rome, Italy, February 24-26, 2016, Revised Selected Papers / edited by Ana Fred, Maria De Marsico, Gabriella Sanniti di Baja.
Contributor(s): Fred, Ana [editor.]
| De Marsico, Maria [editor.] | Sanniti di Baja, Gabriella [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 10163Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVI, 243 p. 111 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319533759.Subject(s): Pattern recognition systems | Computer vision | Artificial intelligence | Data mining | Computer networks | Automated Pattern Recognition | Computer Vision | Artificial Intelligence | Data Mining and Knowledge Discovery | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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Springer Nature eBookSummary: This book contains revised and extended versions of selected papers from the 5th International Conference on Pattern Recognition, ICPRAM 2016, held in Rome, Italy, in February 2016. The 13 full papers were carefully reviewed and selected from 125 initial submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.
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This book contains revised and extended versions of selected papers from the 5th International Conference on Pattern Recognition, ICPRAM 2016, held in Rome, Italy, in February 2016. The 13 full papers were carefully reviewed and selected from 125 initial submissions and describe up-to-date applications of pattern recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance pattern recognition methods.
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