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Neural Networks for Pattern Recognition Christopher M. Bishop
Publisher: Oxford University Press, USA

This is a modified Self-Organizing Map designed specifically to learn fingerprints and can be used for fingerprint based verification and authentication. Particularly good for performance measures and feature selection. Statistical Pattern Recognition (Webb). In this paper we explore the possibility of applying a neural network paradigm to recognize the quality of the crystal. Neural Network based Pattern Recognition (Fingerprint). Lateral neural networking structures may hold the key to accurate artificial vision, pattern recognition, and image identification. Special-Purpose Architectures, Software and Hardware Tools Supporting Information Technologies for Pattern Recognition, Image, Speech and Signal Processing, Analysis and Understanding. Artificial Neural Networks (ANNs) are one of the “hot” topics in creating innovative medical diagnosis and treatment software for patient-centered medicine. Statistical Pattern Recognition – Artificial Intelligence – Neural Nets – Data Mining – Machine Learning. ANNPR 2012 : IAPR Workshop on Artificial Neural Networks for Pattern Recognition. Because speech recognition is basically a pattern recognition problem, and because neural networks are good at pattern recognition, many early researchers naturally tried applying neural networks to speech recognition. Artificial Neural networks (ANNs) belong to the adaptive class of techniques in the machine learning arena. Buildings such as a kindergartens and hospitals. Each of these was started up in EE/CS. Pattern Recognition and Neural Networks (Ripley). Webb (2002) Statistical Pattern Recognition.