A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new tasks characterized by tight real-time requirements (e.g., person identification) and/or high complexity of raw data (e.g., clustering trajectories of mobile objects). The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.
| ISBN: | 9783642095542 |
| Publication date: | 23rd November 2010 |
| Author: | Horst Bunke, Abraham Kandel, Mark Last |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 246 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Maths for engineers Pattern recognition Image processing Artificial intelligence Applied mathematics |
A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new tasks characterized by tight real-time requirements (e.g., person identification) and/or high complexity of raw data (e.g., clustering trajectories of mobile objects).
Applied Pattern Recognition features in the following genres: Maths for engineers, Pattern recognition, Image processing, Artificial intelligence, Applied mathematics
Paperback, Hardback. Not Available.
Applied Pattern Recognition was written by Horst Bunke, Abraham Kandel, Mark Last and published by Springer an imprint of Springer Berlin Heidelberg
Applied Pattern Recognition has 246 pages
Yes it is part of Studies in Computational Intelligence series