Machine learning for audio, image and video analysis theory and applications /
This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into th...
| Main Author: | Camastra, Francesco, 1960- |
|---|---|
| Other Authors: | Vinciarelli, Alessandro,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer,
2015.
|
| Physical Description: |
1 online resource (xvi, 561 pages) : illustrations. |
| Edition: | Second edition. |
| Series: |
Advanced information and knowledge processing.
|
| Subjects: |
Table of Contents:
- Introduction
- Part I: From Perception to Computation
- Audio Acquisition, Representation and Storage
- Image and Video Acquisition, Representation and Storage
- Part II: 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
- Part III: Applications
- Speech and Handwriting Recognition
- Speech and Handwriting Recognition
- Video Segmentation and Keyframe Extraction
- Real-Time Hand Pose Recognition
- Automatic Personality Perception
- Part IV: Appendices
- Appendix A: Statistics
- Appendix B: Signal Processing
- Appendix C: Matrix Algebra
- Appendix D: Mathematical Foundations of Kernel Methods
- Index.