Machine Learning Methods for Signal, Image and Speech Processing

Name: Machine Learning Methods for Signal, Image and Speech Processing
Brand: Taylor & Francis
SKU: 9788770223690
Price: 8206.0 INR
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by M.A. Jabbar

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ISBN13: 9788770223690
Binding: Hardcover
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: River Publishers
Publication Date: October 30, 2021
Pages: 256
Original Price: GBP 96.99
Language: English
Edition: N/A
Item Weight: 540 grams
BISAC Subject(s): Image Processing, Signals & Signal Processing, and Speech & Audio Processing

About The Book

The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering).

This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.

About The Author

Jabbar, Meerja A.: - Dr. M.A.JABBAR is a Professor and Head of the Department AI&ML, Vardhaman College of Engineering, Hyderabad, Telangana, India. He obtained Doctor of Philosophy (Ph.D.) in the year 2015 from JNTUH, Hyderabad, and Telangana, India. He has been teaching for more than 20 years. His research interests include Artificial Intelligence, Big Data Analytics, Bio-Informatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems.

Peng, Sheng-Lung: - Dr. Sheng-Lung Peng obtained Doctor of Philosophy in Computer Science, National Tsing Hua University, Taiwan, 1999.Thesis: A study of graph searching on special graphs. He is a Professor, Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan. Presently he is a Director, Information Service Association of Chinese Colleges, Taiwan and Taiwan Regional Contest Director of ACM-ICPC.

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