Pattern Recognition and Data Analysis with Applications

English | 2022 | ISBN: 9811915199 | 815 pages | True PDF EPUB | 114.71 MB
This book covers latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processingВ and their applications in real world. The topics covered in machine learning involves feature extraction, variants ofВ support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and otherВ areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use ofВ geometric techniques, scene understanding and modelling from video, 3D object recognition, localization andВ tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning likeВ incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc. Further, it covers the real-timeВ challenges involved while processing big data analytics and stream processing with the integration of smart dataВ computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence forВ analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In theВ last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals,В for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signalВ processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG)В and electromyogram (EMG).