Description
Pattern Recognition Analysis and Applications provides an in-depth exploration of pattern recognition methodologies and their real-world applications across various industries. This comprehensive hardcover text, published by InTech in 2017, offers readers a detailed understanding of how to identify, analyze, and classify patterns in complex datasets.
The book covers essential concepts including statistical pattern recognition, neural networks, and machine learning approaches. Author Ramakrishnan S. presents both theoretical foundations and practical implementations, making it suitable for students, researchers, and professionals in computer science, engineering, and data analysis fields. The content bridges the gap between academic theory and industry practice, with examples demonstrating pattern recognition applications in image processing, signal analysis, and data classification tasks.
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