Marleah Blom & Nicola Nobile 
FRONTIERS IN PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE [EPUB ebook] 

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The fifth volume in this book series consists of a collection of new papers written by a diverse group of international scholars. Papers and presentations were carefully selected from 160 papers submitted to the International Conference on Pattern Recognition and Artificial Intelligence held in Montreal, Quebec (May 2018) and an associated free public lecture entitled ‚Artificial Intelligence and Pattern Recognition: Trendy Technologies in Our Modern Digital World‘. Chapters address topics such as the evolution of AI, natural language processing, off and on-line handwriting analysis, tracking and detection systems, neural networks, rating video games, computer-aided diagnosis, and digital learning.Within an increasingly digital world, ‚artificial intelligence‘ is becoming a household term and a topic of great interest to many people worldwide. Pattern recognition, in using key features to classify data, has a strong relationship with artificial intelligence. This book not only complements other monographs in the series, it also provides the latest information. It is geared to promote interest and understanding about pattern recognition and artificial intelligence to the general public. It may also be of interest to graduate students and researchers in the field. Rather than focusing on one specific area, the book introduces readers to various basic concepts and to various potential areas where pattern recognition and artificial intelligence can be applied to make valuable contributions to other fields such as medicine, teaching and learning, forensic science, surveillance, online reviews, computer vision and object tracking.

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Sprache Englisch ● Format EPUB ● Seiten 300 ● ISBN 9789811203534 ● Dateigröße 9.9 MB ● Herausgeber Marleah Blom & Nicola Nobile ● Verlag World Scientific Publishing Company ● Ort Singapore ● Land SG ● Erscheinungsjahr 2019 ● herunterladbar 24 Monate ● Währung EUR ● ID 7047432 ● Kopierschutz Adobe DRM
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