Books

1. Empirical Evaluation Techniques in Computer Vision
   

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2. Image and Signal Processing for Remote Sensing: Papers Presented at the EOS/SPIE Remote Sensing Symposium, 21 September 1998, Barcelona, Spain v. 4 (Proceedings of SPIE)
   

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3. Fundamentals of Machine Vision (SPIE P.)
   

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4. Advanced Signal Processing Algorithms, Architectures, and Implementation IX (SPIE)
   

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5. Image and Signal Processing for Remote Sensing V (Proceedings of SPIE/EUROPTO Series)
   

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6. Evolutionary Computation: Principles and Practice for Signal Processing (Tutorial Texts in Optical Engineering S.)
   

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7. Invisible Rendezvous: Connection and Collaboration in the New Landscape of Electronic Writing
   

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8. Signal Processing: A Dynamic and Optimization-Oriented Approach (Signal Processing)
   

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9. Nonlinear Control Systems (Control Engineering S.)
   

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10. Harnessing AutoCAD: Release 12
    

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11. Digital Photography: A Hands on Introduction
    

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12. Applications in Time-frequency Signal Processing (Electrical Engineering & Applied Signal Processing Series)
    

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13. Handbook of Computer Vision Algorithms in Image Algebra
    

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14. Dynamic Knowledge Interaction (International Series on Computational Intelligence)
    

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15. Nonlinear Signal and Image Processing: Theory, Methods and Applications (Electrical Engineering & Applied Signal Processing)
    

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16. Handbook of Neural Network Signal Processing (Electrical Engineering & Applied Signal Processing)
    

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17. Space Image Processing
    

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18. Wavelet Analysis with Applications to Image Processing
    

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19. Molecular Modelling and Drug Design
    

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20. Structuring Biological Systems: A Computer Modeling Approach
    

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21. Optimal and Adaptive Signal Processing (Electronic Engineering Systems S.)
    

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22. Verification and Validation of Rule-Based Expert Systems
    

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23. Generalized Nets in Artificial Intelligence: Generalized Nets and Machine Learning
    

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24. Acquisition of Software Engineering Knowledge: SWEEP - An Automatic Programming System Based on Genetic Programming and Cultural Algorithms (Series on Software Engineering & Knowledge Engineering)
    

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25. Handbook of Pattern Recognition and Computer Vision
    

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Empirical Evaluation Techniques in Computer Vision (Practitioners) Kevin W. Bowyer , and P. Jonathon Phillips Manufacturer: Wiley-IEEE Computer Society Pr ProductGroup: Book Binding: Paperback General | Algorithms | Programming | Computers & Internet | Subjects | Books Machine Vision | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books Computer Vision | Artificial Intelligence | Computer Science | Computers & Internet | Subjects | Books General | Computers & Internet | Subjects | Books Applied | Mathematics | Science | Subjects | Books | Biomathematics | Computer Mathematics | Differential Equations | Engineering | Game Theory | General | Graph Theory | Linear Programming | Probability & Statistics | Vector Analysis General | Electronics | Electrical & Electronics | Engineering | Professional & Technical | Subjects | Books ASIN: 0818684011

Book Description

Empirical Evaluation Techniques in Computer Vision covers methods that allow comparative assessment of algorithms and the accompanying benefits:

• Places computer vision on solid experimental and scientific grounds
• Assists the development of engineering solutions to practical problems
• Allows accurate assessments of computer vision research
• Provides convincing evidence that computer vision research results in practical solutions

Empirical evaluations are divided into three basic categories providing useful insights into computer vision algorithms. Independently administered evaluations make up the first category. The second is evaluations of a set of classification algorithms by one group. The third category is composed of problems where the ground truth is not self evident. A major component of the evaluation process is to develop a method of obtaining the ground truth.

Empirical evaluations of algorithms are slowly emerging as a serious subfield in computer vision. The text builds a foundation for developing accepted practices for evaluating algorithms that determine the strengths and weaknesses of different approaches while identifying necessary further research. Successful evaluations can help convince potential users that an algorithm has matured to the point that it can be successfully fielded.

Books:

1. Intelligent Systems Design: Integrating Expert Systems, Hypermedia and Database Technologies
2. High Performance VLSI Signal Processing: Algorithms and Architectures Vol 1
3. Empirical Evaluation Techniques in Computer Vision
4. Entropy in Control Engineering: v. 12 (Series in Intelligent Control & Intelligent Automation)
5. Applying Soft Computing in Defining Spatial Relations (Studies in Fuzziness & Soft Computing S.)
6. Designing Distributed Learning Environments with Intelligent Software Agents
7. Digital Filters and Signal Processing in Electronic Engineering: Theory, Applications, Architecture, Code
8. Incomplete Information: Structure, Inference, Complexity (EATCS Monographs in Theoretical Computer Science S.)
9. Developments in Applied Artificial Intelligence: 15th International Conference on Industrial and Engineering. Applications of Artificial Intelligence and Expert Systems, IEA/Aie 2002, Cairns, Australia, June 17-20, 2002. Proceedings (Lecture Notes in Computer Science)
10. Automated Deduction - Cade-15: 15th International Conference on Automated Deduction, Lindau, Germany, July 5-10, 1998 Proceedings (Lecture Notes in Computer Science S.)

Books