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Pattern Recognition : Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings / edited by Cheng-Lin Liu, Changshui Zhang, Liang Wang.
- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Communications in computer and information science 1865-0929 ; 321.
- Communications in Computer and Information Science, 1865-0929 ; 321
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Pattern perception.
- Algorithms.
- Optical data processing.
- Application software.
- Computer networks.
- Artificial Intelligence.
- Pattern Recognition.
- Algorithm Analysis and Problem Complexity.
- Image Processing and Computer Vision.
- Information Systems Applications (incl. Internet).
- Computer Communication Networks.
- Local Subjects:
- Artificial Intelligence.
- Pattern Recognition.
- Algorithm Analysis and Problem Complexity.
- Image Processing and Computer Vision.
- Information Systems Applications (incl. Internet).
- Computer Communication Networks.
- Physical Description:
- 1 online resource (XVIII, 683 pages) : 291 illustrations.
- Edition:
- First edition 2012.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the Chinese Conference on Pattern Recognition, CCPR 2012, held in Beijing, China, in September 2012. The 82 revised full papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on pattern recognition theory; computer vision; biometric recognition; medical imaging; image and video analysis; document analysis; speech processing; natural language processing and information retrieval.
- Contents:
- Pattern recognition theory
- Computer vision
- Biometric recognition
- Medical imaging
- Image and video analysis
- Document analysis
- Speech processing
- Natural language processing and information retrieval.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-33506-8
- 9783642335068
- Access Restriction:
- Restricted for use by site license.
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