Projects per year
Abstract
We propose sparse approximation weighted regression (SPARROW), a method for local estimation of the regression function that uses sparse approximation with a dictionary of measurements. SPARROW estimates the regression function at a point with a linear combination of a few regressands selected by a sparse approximation of the point in terms of the regressors. We show SPARROW can be considered a variant of \(k\)-nearest neighbors regression (\(k\)-NNR), and more generally, local polynomial kernel regression. Unlike \(k\)-NNR, however, SPARROW can adapt the number of regressors to use based on the sparse approximation process. Our experimental results show the locally constant form of SPARROW performs competitively.
Original language | English |
---|---|
Journal | Proceedings of the European Signal Processing Conference |
Volume | 2012 |
Pages (from-to) | 674-678 |
Number of pages | 5 |
ISSN | 2076-1465 |
Publication status | Published - 2012 |
Event | EUSIPCO2012 - Bucharest, Romania Duration: 27 Aug 2012 → … |
Conference
Conference | EUSIPCO2012 |
---|---|
Country/Territory | Romania |
City | Bucharest |
Period | 27/08/2012 → … |
Fingerprint
Dive into the research topics of 'Regression with Sparse Approximations of Data'. Together they form a unique fingerprint.Projects
- 1 Active
-
Greedy Sparse Approximation and the Automatic Description of Audio and Music Data
Sturm, B. L.
Technology and Production Independent Postdoc Center for Independent Research
01/01/2012 → …
Project: Research