Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches

Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications.

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches

Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.

More Books:

Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
Language: en
Pages: 504
Authors: Chiranji Lal Chowdhary, Mamoun Alazab, Ankit Chaudhary, Saqib Hakak, Thippa Reddy Gadekallu
Categories: Computers
Type: BOOK - Published: 2021-11 - Publisher: Computing and Networks

Written by a team of International experts, this edited book covers state-of-the-art research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real-world applications. The book will be useful for industry and academic researchers, scientists and engineers.
Computer Vision and Recognition Systems
Language: en
Pages: 272
Authors: Chiranji Lal Chowdhary, G. Thippa Reddy, B. D. Parameshachari
Categories: Science
Type: BOOK - Published: 2022-03-10 - Publisher: CRC Press

This cutting-edge volume focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. With contributions from researchers in diverse countries, including Thailand, Spain, Japan, Turkey, Australia, and India, the book explains the essential modules that are necessary for comprehending artificial intelligence experiences to
Multi-faceted Deep Learning
Language: en
Pages: 316
Authors: Jenny Benois-Pineau, Akka Zemmari
Categories: Computers
Type: BOOK - Published: 2021-10-20 - Publisher: Springer Nature

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem–oriented
Deep Learning
Language: en
Pages: 161
Authors: Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy
Categories: Computers
Type: BOOK - Published: 2020-06-22 - Publisher: Walter de Gruyter GmbH & Co KG

This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced
Domain Adaptation in Computer Vision with Deep Learning
Language: en
Pages: 256
Authors: Hemanth Venkateswara, Sethuraman Panchanathan
Categories: Computers
Type: BOOK - Published: 2020-08-18 - Publisher: Springer Nature

This book provides a survey of deep learning approaches to domain adaptation in computer vision. It gives the reader an overview of the state-of-the-art research in deep learning based domain adaptation. This book also discusses the various approaches to deep learning based domain adaptation in recent years. It outlines the