Description
This comprehensive hardcover edition offers an in-depth exploration of pattern recognition—a cornerstone of modern artificial intelligence, machine learning, and computer vision. Spanning 640 pages, this InTech publication brings together cutting-edge techniques, real-world applications, and theoretical foundations that every computer science professional and researcher needs to master. Whether you’re working on image processing, biometric systems, data classification, or neural networks, this volume delivers practical insights across diverse domains. Ideal for postgraduate students, research scholars, and industry professionals in India looking to deepen their understanding of pattern recognition algorithms and their implementation in emerging technologies. The book covers statistical methods, feature extraction, classification techniques, and contemporary applications ranging from medical imaging to robotics, making it an essential reference for your technical library.
- ISBN-10: 9789537619244
- ISBN-13: 978-9537619244
- Publisher: INTECH
- Publication date: 1 January 2017
- Language: English
- Dimensions: 16.99 x 3.51 x 24.41 cm
- Print length: 640 pages
Frequently Asked Questions
What topics are covered in Pattern Recognition Techniques Technology and Applications?
This book covers statistical pattern recognition methods, feature extraction techniques, classification algorithms, neural networks, computer vision applications, biometric systems, medical imaging, signal processing, and machine learning fundamentals. It provides both theoretical foundations and practical applications across 640 pages.
Is this pattern recognition book suitable for engineering students in India?
Yes, this book is ideal for postgraduate engineering students, research scholars, and professionals in computer science, electronics, and AI fields. It’s comprehensive enough for advanced study and serves as an excellent reference for those working on pattern recognition projects or research in Indian universities and institutes.
Who publishes Pattern Recognition Techniques Technology and Applications?
This book is published by InTech (now IntechOpen), a well-known academic publisher specializing in science, technology, and medicine. The 2017 hardcover edition contains 640 pages and is written by multiple expert contributors in the field.
What is the difference between pattern recognition and machine learning?
Pattern recognition focuses on identifying patterns and regularities in data, often using statistical and algorithmic approaches. Machine learning is broader, encompassing algorithms that learn from data. This book covers the intersection of both fields, explaining how pattern recognition techniques form the foundation of many modern ML applications.
Can I use this book for pattern recognition research and project work?
Absolutely. With its 640-page comprehensive coverage of techniques, technologies, and applications, this book serves as an excellent reference for research scholars, MTech/PhD students, and industry professionals working on pattern recognition projects in areas like image processing, biometrics, medical diagnosis, and AI systems.
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