Texture Analysis in Machine Vision
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An Introduction to Image Classification: From Designed Models to End-to-End Learning
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Generalized Feature Extraction for Structural Pattern Recognition in Time-Series Data
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A Beginner’s Guide to Image Shape Feature Extraction Techniques (Intelligent Signal Processing and Data Analysis)
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Handbook of Image Processing and Computer Vision: Volume 1: From Energy to Image
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Pattern Recognition and Classification: An Introduction
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Handbook of Image Processing and Computer Vision: Volume 2: From Image to Pattern
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Advanced Pattern Recognition Technologies with Applications to Biometrics
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Image Registration: Principles, Tools and Methods (Advances in Computer Vision and Pattern Recognition)
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Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques
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Machine and Deep Learning
Artificial neural networks are computational systems vaguely inspired by design of natural neural networks (NNN). These systems are also called connectionist systems. Learn what is Artificial Neural Networks in detail through this blog.
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The Independent Component Analysis (ICA) plays very important role in blind source separation and has many more applications in pattern recognition. The ICA is new area for researchers in the last decade for face recognition. There is much more scope for research using ICA for face recognition with different methods of feature extractions and needs to be addressed. As the promising applications of ICA is feature extraction, where it extracts independent image bases which are not necessarily orthogonal and it is sensitive to high order statistics. In the task of face recognition, important information may be contained in the high order relationship among pixels. Independent Component Analysis (ICA) minimizes both second order and higher-order dependencies in the input data and attempts to find the basis along with the data when projected onto them are statistically independent. So ICA seems to be a promising face feature extraction method. Face Recognition Using Independent Component Analysis (Paperback)
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Cyber space is now an essential part of our societies and economies, and may even become a determining factor in our lives. Even though most of business and projects, especially those in transnational environment, are highly dependent on information technology, many of them underestimate the risks of cyberspace and suffer business costs caused by hacker attacks, viruses and malware. Cybercrime is already flourishing in areas with weak cyber governance like in Eastern Europe, and consequently in Romania. International, EU regional and national vigilance and collaborative intelligence are crucial. A global dialogue among governments, society, and the private sector, can help create agreement on how to secure the Internet economy. Romania government should also cooperate in developing an international and regional information exchange and early warning mechanisms in cooperation with strategic partners, USA and NATO, for rapid reaction in case of crisis, as well as establishing EU Cyberspace Policy Framework. Early Warning mechanism in cyber space (Paperback)
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Fundamentals of pattern recognition.- Feature extraction and classification.- Computer vision.- Image processing and analysis.- Video processing and analy
sis.- Biometric and action recognition.- Biomedical image analysis.- Document and speech analysis.- Pattern recognition applications. • ISBN:9783662456422 • Format:Paperback • Publication Date:2014-11-20
