Trends in Machine Learning for Signal Processing |
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| Abstract | By putting the accent on learning from the data and the environment, the Machine Learning for SP (MLSP) Technical Committee (TC) provides the essential bridge between the machine learning and SP communities. While the emphasis in MLSP is on learning and data-driven approaches, SP defines the main applications of interest, and thus the constraints and requirements on solutions, which include computational efficiency, online adaptation, and learning with limited supervision/reference data. |
| Keywords | machine learning, signal processing |
| Type | Journal paper [With referee] |
| Journal | IEEE Signal Processing Magazine |
| Year | 2011 Month November Vol. 28 No. 11 pp. 193 - 196 |
| Publisher | IEEE Press |
| ISBN / ISSN | DOI 10.1109/MSP.2011.942319 |
| Note | Video avialable at https://ieeetv.ieee.org/player/html/viewer#icassp-2011-trends-in-machine-learning-for-signal-processing |
| Electronic version(s) | [pdf] |
| Publication link | http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=6021869&openedRefinements%3D*%26filter%3DAND%28NOT%284283010803%29%29%26searchField%3DSearch+All%26queryText%3DJ.+Larsen+2011 |
| BibTeX data | [bibtex] |
| IMM Group(s) | Intelligent Signal Processing |