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Machine Learning for Audio, Image and Video Analysis: Theory and Applications by Francesco Camastra and Alessandro Vinciarelli

By: Camastra, Francesco.
Contributor(s): Vinciarelli, Alessandro.
Material type: materialTypeLabelBookPublisher: Heidelberg Springer-Verlag 2008Description: 494p.ISBN: 9781848000063.Subject(s): Computer EngineeringDDC classification: 006.31
List(s) this item appears in: Machine Learning
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Introduction Part - 1: From Perception to Computation Audio Acquisition, Representation and Storage Image and Video Acquisition, Representation and Storage Part - 2: Machine Learning Bayesian Theory of Decision Clustering Methods Foundations of Statistical Learning Supervised Neural Networks and Ensemble Methods Kernel Methods Markovian Models for Sequential Data Feature Extraction Methods and Manifold Learning Methods Part - 3: Applications Speech and Handwriting Recognition Automatic Face Recognition Video Segmentation and Keyframe Extraction Part - 4: Appendices Statistics Signal Processing Matrix Algebra Mathematical Foundations of Kernel Methods

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