Frontiers in Pattern Recognition and Artificial Intelligence

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.Contents: Preface List of Contributors Artificial Intelligence: An Overview (Peter Grogono) Diverse Perspectives on the Relationship between Artificial Intelligence and Pattern Recognition (Björn Barz, Mukherjee & Lall and Elham Vahdati) Natural Language Processing: An Overview (Hessam Amini, Farhood Farahnak, and Leila Kosseim) Handwriting Recognition Systems and Applications (Muna Khayyat and Nicola Nobile) New Roadmap for Evaluating Descriptive Handwritten Answer Script (Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Tapabrata Chakraborti and Michael Blumenstein) Improving Chinese Writer Identification by Fusion of Text-Dependent and Text-Independent Methods (Yu-Jie Xiong, Li Liu, Patrick S P Wang, and Yue Lu) Online Handwriting Analysis for the Assessment of Alzheimer's Disease and Parkinson's Disease: Overview and Experimental Investigation (Donato Impedovo and Giuseppe Pirlo) Online Analysis of Hand-Drawn Strokes for Geometry Learning (Omar Krichen, Eric Anquetil, Nathalie Girard, and Mickaël Renault) Automatic Detection of Counterfeit Coins by Visual Measurements (Ke Sun and Ching Y Suen) An Ensemble of Character Features and Fine-Tuned Convolutional Neural Network for Spurious Coin Detection (Ali Hmood and Ching Y Suen) Cardiac Murmur Classification in Phonocardiograms Using Deep Recurrent-Convolutional Neural Networks (Pengcheng Xi, Rafik Goubrana and Chang Shu) Robust and Adaptive Vehicle Detection System Based on Energy Map Analysis by Using Surveillance Videos (Yan-Lin Chou and Daw-Tung Lin) Automatic High-Speed Compressive Tracking with Motion Prediction (Hongjun Li and Wei Hu) How to Rate a Video Game? A Prediction System for Video Games Based on Multimodal Information (Vishal Batchu and Varshit Battu) Students and researchers in pattern recognition and artificial intelligence, and the general public. Pattern Recognition; Artificial Intelligence; Natural Language Processing; Digital Learning; Computer-Aided Diagnosis 00