Energy Minimization Methods in Computer Vision and Pattern Recognition [electronic resource] :8th International Conference, EMMCVPR 2011, St. Petersburg, Russia, July 25-27, 2011. Proceedings / edited by Yuri Boykov, Fredrik Kahl, Victor Lempitsky, Frank R. Schmidt.
by Boykov, Yuri [editor.]; Kahl, Fredrik [editor.]; Lempitsky, Victor [editor.]; Schmidt, Frank R [editor.]; SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 6819Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.Description: Approx. 450 p. online resource.ISBN: 9783642230943.Subject(s): Computer science | Operating systems (Computers) | Computer software | Data mining | Computer vision | Optical pattern recognition | Computer Science | Pattern Recognition | Performance and Reliability | Image Processing and Computer Vision | Algorithm Analysis and Problem Complexity | Computer Imaging, Vision, Pattern Recognition and Graphics | Data Mining and Knowledge DiscoveryDDC classification: 006.4 Online resources: Click here to access online
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Springer eBooksSummary: This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July, 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continous optimzation, segmentation, motion and video, learning and shape analysis.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| TK7882.P3 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | Q337.5 (Browse shelf) | Available |
This book constitutes the refereed proceedings of the 8th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2011, held in St. Petersburg, Russia in July, 2011. The book presents 30 revised full papers selected from a total of 52 submissions. The book is divided in sections on discrete and continous optimzation, segmentation, motion and video, learning and shape analysis.
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