Machine Learning for Audio, Image and Video Analysis : Theory and Applications
Publication year: 2008
: 978-1-84800-007-0
The book is organized in four 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, while the third part focuses on applications and shows how techniques are applied in actual problems. The fourth part contains detailed appendices that provide notions about the main mathematical instruments used throughout the text
: Computer Science, Classification, Clustering, Ensemble methods, Face verification, HSV, Hidden Markov methods, Kernel methods, MP3, MPEG, Speech and handwriting recognition, cognition, kernel method, learning, machine learning, verification, Artificial Intelligence, Pattern Recognition, Image Processing and Computer Vision, Multimedia Information Systems
