Kernel methods in bioengineering, signal and image processing
"This book presents an extensive introduction to the field of kernel methods and real world applications. The book is organized in four parts: the first is an introductory chapter providing a framework of kernel methods; the others address Bioegineering, Signal Processing and Communications and...
Other Authors: | , , |
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Format: | Electronic |
Language: | English |
Published: |
Hershey, PA :
Idea Group Pub.,
c2007.
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Subjects: | |
Online Access: | View fulltext via EzAccess |
Table of Contents:
- 1. Kernel Methods: A Paradigm for Pattern Analysis
- Section I: Bio-Medical Engineering
- 2. Kernel Methods in Genomics and Computational Biology
- 3. Kernel Clustering for Knowledge Discovery in Clinical Microarray Data Analysis
- 4. Support Vector Machine for Recognition of White Blood Cells of Leukaemia
- 5. Classification of Multiple Interleaved Human Brain Tasks in Functional Magnetic Resonance Imaging
- Section II: Signal Processing
- 6. Discrete Time Signal Processing Framework with Support Vector Machines
- 7. A Complex Support Vector Machine Approach to OFDM Coherent Demodulation
- 8. Comparison of Kernel Methods Applied to Smart Antenna Array Processing
- 9. Applications of Kernel Theory to Speech Recognition
- 10. Building Sequence Kernels for Speaker Verification and Word Recognition
- 11. A Kernel Canonical Correlation Analysis for Learning the Semantics of Text
- Section III: Image Processing
- 12. On the Pre-Image Problem in Kernel Methods
- 13. Perceptual Image Representations for Support Vector Machine Image Coding
- 14. Image Classification and Retrieval with Kernel Methods
- 15. Probabilistic Kernel PCA and its Application to Statistical Modeling and Inference
- 16. Hyperspectral Image Classification with Kernels
- About the Authors
- Index.