| 书目名称 | Machine Intelligence and Signal Processing |
| 编辑 | Richa Singh,Mayank Vatsa,Ajay Kumar |
| 视频video | |
| 概述 | Presents multi-disciplinary papers in the domain of machine learning and signal processing.Contains selected tutorial style papers written by eminent researchers.Includes different applications such a |
| 丛书名称 | Advances in Intelligent Systems and Computing |
| 图书封面 |  |
| 描述 | This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning – instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentat |
| 出版日期 | Conference proceedings 2016 |
| 关键词 | Biomedical Signal Processing; Biometrics; Compressed Sensing; Data Analytics; Intelligent Signal Process |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-81-322-2625-3 |
| isbn_softcover | 978-81-322-2624-6 |
| isbn_ebook | 978-81-322-2625-3Series ISSN 2194-5357 Series E-ISSN 2194-5365 |
| issn_series | 2194-5357 |
| copyright | Springer India 2016 |
发表于 2025-3-21 16:18:49
