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Pattern Recognition: An Algorithmic Approach
$17.45
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- A comprehensive introduction to pattern recognition, covering fundamental concepts, algorithms, and applications.
- Explores various pattern recognition techniques, including supervised and unsupervised learning, feature extraction, and classification.
- Provides a detailed overview of different types of classifiers, such as linear discriminant analysis, support vector machines, and neural networks.
- Discusses the principles of pattern recognition, including statistical pattern recognition, structural pattern recognition, and syntactic pattern recognition.
- Includes real-world examples and case studies to illustrate the practical applications of pattern recognition.
- Suitable for students, researchers, and practitioners in computer science, engineering, and related fields.
- Written by leading experts in the field, providing authoritative and up-to-date information.
- A valuable resource for anyone interested in understanding the fundamentals and applications of pattern recognition.
Condition: New original from publisher
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