Pattern Recognition [electronic resource] : 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings / edited by Volker Roth, Thomas Vetter.
Material type:
TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10496Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XVI, 428 p. 159 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319667096Subject(s): Pattern recognition | Optical data processing | Artificial intelligence | Pattern Recognition | Image Processing and Computer Vision | Artificial IntelligenceDDC classification: 006.4 LOC classification: Q337.5TK7882.P3Online resources: Click here to access online Summary: This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in Basel, Switzerland, in September 2017. The 33 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on biomedical image processing and analysis; classification and detection; computational photography; image and video processing; machine learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture; reconstruction and depth; and tracking.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
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Central Library, Sikkim University | 006.4 (Browse shelf(Opens below)) | Not for loan | E-3001 |
This book constitutes the refereed proceedings of the 39th German Conference on Pattern Recognition, GCPR 2017, held in Basel, Switzerland, in September 2017. The 33 revised full papers presented were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on biomedical image processing and analysis; classification and detection; computational photography; image and video processing; machine learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture; reconstruction and depth; and tracking.
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