Focusing on complex media and how to convert raw data into useful information, this book offers both introductory and advanced material in the combined fields of machine learning and image/video processing. It is organized into three parts. The first focuses on technical aspects, basic mathematical notions and elementary machine learning techniques. The second provides an extensive survey of most relevant machine learning techniques for media processing. The third focuses on applications and shows how techniques are applied in actual problems. Examples and problems are based on data and software packages publicly available on the web.Theoretical foundations of the potential function method in pattern recognition learning. Automation and Remote Control, ... Technical report, EECS Department , University of California, 2003. 3. A. Barla, E. ... Harmonic analysis on semigroups.
|Title||:||Machine Learning for Audio, Image and Video Analysis|
|Author||:||Francesco Camastra, Alessandro Vinciarelli|
|Publisher||:||Springer Science & Business Media - 2007-12-22|