Название: Pattern Recognition and Data Analysis with Applications
Автор: Deepak Gupta, Rajat Subhra Goswami
Издательство: Springer
Год: 2022
Страниц: 815
Язык: английский
Формат: pdf (true)
Размер: 19.4 MB
This book covers latest advancements in the areas of Machine Learning {ML}, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing and their applications in real world. The topics covered in Machine Learning involves feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN) and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modelling from video, 3D object recognition, localization and tracking, medical image analysis and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multi-task, semi-supervised, etc.