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, M�ario Figueiredo.
Contributor(s): Fred, Ana [editor.] | De Marsico, Maria [editor.] | Figueiredo, M�ario [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 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): Computer science | Artificial intelligence | Computer simulation | Computer graphics | Image processing | Pattern recognition | Computational intelligence | Computer Science | Pattern Recognition | Image Processing and Computer Vision | Artificial Intelligence (incl. Robotics) | Computer Graphics | Simulation and Modeling | Computational IntelligenceAdditional physical formats: Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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Springer eBooksSummary: 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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