Machine learning for audio, image and video analysis : theory and applications /
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| Format: | Book |
| Language: | English |
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London :
Springer,
c2010.
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Table of Contents:
- Introduction
- Audio acquisition, representation and storage
- Image and video acquisition, representation and storage
- 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 learnign methods
- Speech and handwriting recognition
- Automatic face recognition
- Video segmentation and keyframe extraction.