Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015
Springer International Publishing (Verlag)
978-3-319-26225-3 (ISBN)
The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 79 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections:
- Features, learning, and classifiers
- Biometrics
- Data Stream Classification and Big Data Analytics
- Image processing and computer vision
- Medical applications
- Applications
This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.
Part I Features, Learning and Classifiers.- Part II Biometrics.- Part III Data Stream Classification and Big Data Analytics.- Part IV Image Processing and Computer Vision.- Part V Medical Applications.- Part VI Application.- Part VII Rgb-D Perception: Recent Developments and Applications.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Advances in Intelligent Systems and Computing |
| Zusatzinfo | XIV, 855 p. 279 illus., 145 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Schlagworte | 9th International Conference on Computer • artificial intelligence (incl. robotics) • Computational Intelligence • Computer Recognition Systems • CORES 2015 • Engineering • Intelligent Systems • pattern recognition • Recognition Systems CORES 2015 |
| ISBN-10 | 3-319-26225-4 / 3319262254 |
| ISBN-13 | 978-3-319-26225-3 / 9783319262253 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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