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Book Summary
Key Features
Provides comprehensive coverage of information theory elements implied in modern
computer vision and pattern recognition (CVPR) algorithms Introduces information
theory to researchers in CVPR Additionally, introduces interesting CVPR problems
to information theorists Information Theory (IT) can be highly effective for
formulating and designing algorithmic solutions to many problems in Computer
Vision and Pattern Recognition (CVPR).About the Book: Information Theory in
Computer Vision and Pattern Recognition
This text introduces and explores the measures, principles, theories, and
entropy estimators from IT underlying modern CVPR algorithms, providing
comprehensive coverage of the subject through an incremental complexity
approach. The authors formulate the main CVPR problems and present the most
representative algorithms. In addition,
- ISBN-13
- 9788132204466
- Language
- English
- Binding
- Paper Back
- Publisher
- Apress / Springer (India) Pvt Ltd
- Product Edition
- 1
- Total Pages
- 412
Information Theory In Computer Vision & Pattern Recognition
by Escolano Ruiz (Author),
Apress / Springer (India) Pvt Ltd (Publisher)
fictionfantasyyoung adultaward winning
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Product Specifications
Book Summary
Key Features
Provides comprehensive coverage of information theory elements implied in modern
computer vision and pattern recognition (CVPR) algorithms Introduces information
theory to researchers in CVPR Additionally, introduces interesting CVPR problems
to information theorists Information Theory (IT) can be highly effective for
formulating and designing algorithmic solutions to many problems in Computer
Vision and Pattern Recognition (CVPR).About the Book: Information Theory in
Computer Vision and Pattern Recognition
This text introduces and explores the measures, principles, theories, and
entropy estimators from IT underlying modern CVPR algorithms, providing
comprehensive coverage of the subject through an incremental complexity
approach. The authors formulate the main CVPR problems and present the most
representative algorithms. In addition,
Book Specifications
- ISBN-13
- 9788132204466
- Language
- English
- Binding
- Paper Back
- Publisher
- Apress / Springer (India) Pvt Ltd
- Product Edition
- 1
- Total Pages
- 412