Pattern Recognition - 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

List of contents

Robotics.- Computer vision.- Basic theory of pattern recognition.- Image and video processing.- Speech and language.- Emotion recognition.

Summary

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

Product details

• Assisted by: Xilin Chen (Editor), Xilin Chen et al (Editor), Hong Cheng (Editor), Xuelon Li (Editor), Xuelong Li (Editor), Tieniu Tan (Editor), Jian Yang (Editor), Jie Zhou (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 30.11.2016
• EAN: 9789811030048
• ISBN: 978-981-10-3004-8
• No. of pages: 735
• Dimensions: 157 mm x 237 mm x 43 mm
• Weight: 1130 g
• Illustrations: XXIII, 735 p. 311 illus.
• Series: Communications in Computer and Information Science; Communications in Computer and Information Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Künstliche Intelligenz, Data Mining, Artificial Intelligence, Natürliche Sprachen und maschinelle Übersetzung, Maschinelles Sehen, Bildverstehen, Wissensbasierte Systeme, Expertensysteme, computer science, Computer Vision, Image Processing and Computer Vision, pattern recognition, Data Mining and Knowledge Discovery, Automated Pattern Recognition, Optical data processing, Image processing, Expert systems / knowledge-based systems, Biometrics, Biometrics (Biology), Natural language & machine translation, Natural Language Processing (NLP), Natural language processing (Computer science), sparse representation, Image Denoising