Pattern Recognition: Applications and Methods [electronic resource] : 4th International Conference, ICPRAM 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers / edited by Ana Fred, Maria De Marsico, Mário Figueiredo.
Contributor(s): Fred, Ana [editor.]
| De Marsico, Maria [editor.] | Figueiredo, Mário [editor.] | SpringerLink (Online service).
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BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 9493Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015.Description: XVI, 301 p. 166 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319276779.Subject(s): Pattern recognition systems | Computer vision | Artificial intelligence | Computer graphics | Computer simulation | Computational intelligence | Automated Pattern Recognition | Computer Vision | Artificial Intelligence | Computer Graphics | Computer Modelling | Computational IntelligenceAdditional 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 constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Pattern Recognition, ICPRAM 2015, held in Lisbon, Portugal, in January 2015. The 20 revised full papers were carefully reviewed and selected from 145 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 constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Pattern Recognition, ICPRAM 2015, held in Lisbon, Portugal, in January 2015. The 20 revised full papers were carefully reviewed and selected from 145 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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