The rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data, the role of intelligent algorithms has become prominent in order to v
Intelligent Algorithms in Ambient and Biomedical Computing
โ Scribed by Wim Verhaegh, Emile Aarts, Jan Korst (eds.)
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 329
- Series
- Philips Research Book Series, Volume 7
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Contents
Contributing Authors
Preface
Acknowledgments
Part I: Healthcare
1. Bioscience Computing and the Role of Computational Simulation in Biology
1.1. Introduction to bioscience computing
1.2. Simulating adaptive behaviour
1.3. Impact and future directions for bioscience computing
1.4. Summary and conclusions
References
2. The Many Strands of DNA Computing
2.1. Introduction
2.2. DNA computing
2.3. Synthetic biology
2.4. Conclusion and future directions
References
3. Bio-Inspired Data Management
3.1. Introduction
3.2. Data cell overview
3.3. The communication infrastructure
3.4. The life cycle
3.5. Application challenges
3.6. Conclusion
References
4. An Introduction to Machine Consciousness
4.1. Introduction
4.2. Biological consciousness
4.3. Machine consciousness
4.4. Is it relevant?
4.5. Applications
4.6. Conclusion
References
Part II: Lifestyle
5. Optimal Selection of TV Shows for Watching and Recording
5.1. Introduction
5.2. Problem definition
5.3. Computational complexity
5.4. Scheduling shows for watching
5.5. A dynamic programming approach
5.6. Run time improvements
5.7. Experiments
5.8. Conclusion
References
6. Movie-in-a-Minute: Automatically Generated Video Previews
6.1. Introduction
6.2. Related work
6.3. Requirements
6.4. Formal model
6.5. Implementation and results
6.6. Need for personalization
6.7. Conclusions
References
7. Features for Audio Classification: Percussiveness of Sounds
7.1. Introduction
7.2. Feature extraction algorithm
7.3. Experiments
7.4. Summary
References
8. Extracting the Key from Music
8.1. Introduction
8.2. Musical pitch and key
8.3. Method
8.4. Evaluation
8.5. Conclusion
References
9. Approximate Semantic Matching of Music Classes on the Internet
9.1. Introduction
9.2. Semantic coordination
9.3. Internet music schemas
9.4. Approximate matching
9.5. Experiment with approximate matching
9.6. Future work
9.7. Conclusion
References
10. Ontology-Based Information Extraction from the World Wide Web
10.1. Introduction
10.2. Problem definition
10.3. Solution approach
10.4. Case study: Finding famous people on the Web
10.5. Concluding remarks
References
11. Privacy Protection in Collaborative Filtering by Encrypted Computation
11.1. Introduction
11.2. Memory-based collaborative filtering
11.3. Encryption
11.4. Encrypted user-based algorithm
11.5. Encrypted item-based algorithm
11.6. Conclusion
References
Part III: Technology
12. A First Look at the Minimum Description Length Principle
12.1. Introduction and overview
12.2. The fundamental idea: Learning as data compression
12.3. MDL and model selection
12.4. Crude and refined MDL
12.5. The MDL philosophy
12.6. MDL and Occam's razor
12.7. History
12.8. Challenges for MDL: The road ahead
12.9. Summary, conclusion and further reading
References
13. Semantic Web Ontologies and Entailment: Complexity Aspects
13.1. Introduction
13.2. RDF graphs and simple entailment
13.3 RDFS entailment and D entailment
13.4. pD entailment
13.5. Conclusion
References
14. Bayesian Methods for Tracking and Localization
14.1 Introduction
14.2. Bayesian networks for dynamic systems analysis
14.3. Localization of a mobile platform
14.4. Tracking with distributed cameras
14.5. Conclusions and remaining issues
References
15. Private Profile Matching
15.1. Introduction
15.2. Preliminaries
15.3. Secure approximate matching w.r.t. Hamming distance
15.4. Conclusion
References
16. Air Fair Scheduling for Multimedia Transmission over Multi-Rate Wireless LANs
16.1. Introduction
16.2. Fairness in wireless/mobile networks
16.3. AFS in an IEEE 802.11e wireless LAN
16.4. Station scheduler
16.5. Local scheduler (LS)
16.6. Numerical and simulation results
16.7. Experimental setup and results
16.8. Conclusions
References
17. High Throughput and Low Power Reed Solomon Decoder for Ultra Wide Band
17.1. Motivation
17.2. Introduction to Reed Solomon
17.3. Channel model
17.4. Architecture design options
17.5. Design flow
17.6. Results
17.7. Benchmarking
17.8. Optimisations to design
17.9. Conclusions
References
Index
A
B
C
D
E
F
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