Machine Learning for Audio, Image and Video Analysis: Theory and Applications
Material type:
TextPublication details: Heidelberg Springer-Verlag 2008Description: 494pISBN: - 9781848000063
- 006.31 CAM
| Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Reference Book
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 006.31 CAM (Browse shelf(Opens below)) | Not For Loan | T0034094 |
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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