Trends in Machine Learning for Signal Processing

Publication: Research - peer-reviewJournal article – Annual report year: 2011

View graph of relations

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.
Original languageEnglish
JournalI E E E - Signal Processing Magazine
Publication date2011
Volume28
Issue6
Pages193-196
ISSN1053-5888
DOIs
StatePublished
CitationsWeb of Science® Times Cited: 0
Download as:
Download as PDF
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBEHarvardMLAStandardVancouverShortLong
Word

ID: 6330476