Machine Learning for Audio, Image and Video Analysis Theory and Applications /

• Κύριοι συγγραφείς: Camastra, Francesco (Συγγραφέας), Vinciarelli, Alessandro (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2008.
• Σειρά: Advanced Information and Knowledge Processing
• Θέματα: Computer science.; Multimedia information systems.; Artificial intelligence.; Image processing.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Image Processing and Computer Vision.; Multimedia Information Systems.

Machine Learning involves several scientific domains including mathematics, computer science, statistics and biology, and is an approach that enables computers to automatically learn from data. Focusing on complex media and how to convert raw data into useful information, this book offers both intro...

Πίνακας περιεχομένων:

• From Perception to Computation
• Audio Acquisition, Representation and Storage
• Image and Video Acquisition, Representation and Storage
• Machine Learning
• Machine Learning
• Bayesian Theory of Decision
• Clustering Methods
• Foundations of Statistical Learning and Model Selection
• Supervised Neural Networks and Ensemble Methods
• Kernel Methods
• Markovian Models for Sequential Data
• Feature Extraction Methods and Manifold Learning Methods
• Applications
• Speech and Handwriting Recognition
• Automatic Face Recognition
• Video Segmentation and Keyframe Extraction.