Machine learning algorithms for signal and image processing / edited by Deepika Ghai, Lovely Professional University, IN, Suman Lata Tripathi, Lovely Professional University, IN, Sobhit Saxena, Lovely Professional University, IN Manash Chanda, Meghnad Saha Institute of Technology, IN, Mamoun Alazab Charles Darwin University, AS.
| Other author | Ghai, Deepika. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Hoboken, New Jersey : Wiley-IEEE Press, [2023] |
| Description | 1 online resource |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Abstract | "Machine Learning Algorithms for Signal and Image Processing aid the reader in designing and developing real-world applications of societal and industrial needs using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, text processing, etc. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. It will advance the current understanding of various machine and deep learning techniques in terms of their ability to improve upon the existing solutions with accuracy, precision rate, recall rate, processing time or otherwise. The most important is, it aims to bridge the gap among closely related fields of information processing including ML, DL, DSP, Statistics, Kernel Theory and others. It also aims to bridge the gap between academicians, researchers and industry to provide new technological solutions for healthcare, speech recognition, object detection and classification, etc. It will improve upon the current understanding about data collection and data preprocessing of signals and images for various applications, implementation of suitable machine and deep learning techniques for variety of signals and images, as well, possible collaboration to ensure successful design according to industry standards by working in a team. It will be helpful for researchers and designers to find out key parameters for future work in this area. The researchers working on machine and deep learning techniques can correlate their work with real-life applications of smart sign language recognition system, healthcare, smart blind reader system, text to image generation or vice-versa, etc. The book will be of interest to both beginners working in the field of machine and deep learning used for signal and image analysis, interdisciplinary in its nature"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher; resource not viewed. |
| Issued in other form | Print version: Machine learning algorithms for signal and image processing First edition. Hoboken, New Jersey : Wiley-IEEE Press, [2023] 9781119861829 |
| Genre/form | Electronic books. |
| LCCN | 2022038194 |
| ISBN | 9781119861843 (epub) |
| ISBN | 9781119861836 (adobe pdf) |
| ISBN | (cloth) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |