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Pattern Recognition : 9th Mexican Conference, MCPR 2017, Huatulco, Mexico, June 21-24, 2017, Proceedings / edited by Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 10267
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10267
- Language:
- English
- Subjects (All):
- Pattern recognition systems.
- Artificial intelligence.
- Computer vision.
- Application software.
- Data mining.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Vision.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Automated Pattern Recognition.
- Artificial Intelligence.
- Computer Vision.
- Computer and Information Systems Applications.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XI, 310 pages) : 124 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition.
- Contents:
- Pattern recognition and artificial intelligence techniques
- Image processing and analysis
- Robotics and remote sensing
- Natural language processing and recognition
- Applications of pattern recognition.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-59226-8
- 9783319592268
- Access Restriction:
- Restricted for use by site license.
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