Preface

摘要

Recent technological advancements have played a prominent role in directing Information Technology research towards making 'intelligent' machines. Traditionally, intelligence has been commonly associated with humans as an intellectual characteristic, by virtue of which they demonstrate the ability to transcend trivial computations or decisions. Intelligent computations or decisions act as a driving force to deal with problems from a wide range of domains. Intelligent machines have the ability to acquire crucial knowledge from the environment, which enables them to learn and draw significant inferences based on evidences. Since these machines are knowledge-oriented, they possess the ability to generalize which makes them quite reliable. This volume covers all these aspects of machine intelligence, as an outcome of PReMI 2019, an international conference on Pattern Recognition and Machine Intelligence, held at Tezpur University, India, during December 17-20, 2019. It includes 90 full-length and 41 short papers from across the globe. It aims to provide a comprehensive and in-depth discussion of the contemporary research trends in the domain of pattern recognition and machine intelligence. The conference began with two plenary talks followed by five invited talks and oral presentations. The first plenary talk on 'Granular Artificial Intelligence' highlighted its applications in modelling environments and pattern recognition and was delivered by Prof. Witold Pedrycz of University of Alberta, Canada. The second plenary talk by Prof. Jayaram Udupa of University of Pennsylvania, Philadelphia, USA focused on 'Biomedical Imaging.'