Difference between revisions of "Koushanfar2010"

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{{publication
{{publication
|entry=article
|author=Farinaz Koushanfar and Mehrdad Majzoobi and Potkonjak, Miodrag
|author=Farinaz Koushanfar and Mehrdad Majzoobi and Potkonjak, Miodrag
|url=http://dl.acm.org/citation.cfm?id=1737518
|journal=IEEE Trans. On Signal Processing
|abstract=<p>We introduce a unified approach for calculating nonparametric shape constrained regression. Enforcement of the shape constraint often accounts for the impact of a physical phenomenon or a specific property. It also improves the model\&$\#$39;s predicability and facilitates subsequent optimizations. The regression models are built by transforming the problem into the combinatorial domain where the shape constraints are imposed by bounding the combinatorial search space. We start by addressing isotonicity shape constraint using a dynamic programming algorithm and demonstrate how the problem can be mapped to the graph combinatorics domain. Next we show how a number of other important shape constraints including unimodality, convexity, limited level set, and limited slope can be addressed using the same framework. The flexibility of proposed framework enables solving the shape constrained regression problem with an arbitrary user-defined error metric. This flexibility is exploited to add robustness against outliers to the model. The algorithms are described in detail and their computational complexity is established. The performance and effectiveness of the shape constrained regression is evaluated on traces of temperature and humidity measurements from a deployed sensor network where a high degree of accuracy and robustness is demonstrated.</p>
|month=2
|pages=626 - 637
|pages=626 - 637
|month=2
|title=Nonparametric Combinatorial Regression for Shape Constrained Modeling
|volume=58
|year=2010
|year=2010
|volume=58
|url=http://dl.acm.org/citation.cfm?id=1737518
|journal=IEEE Trans. On Signal Processing
|pdf=Nonparametric Combinatorial Regression for Shape Constrained Modeling.pdf
|title=Nonparametric Combinatorial Regression for Shape Constrained Modeling
|entry=article
}}
}}

Latest revision as of 14:08, 9 November 2021

Koushanfar2010
entryarticle
address
annote
authorFarinaz Koushanfar and Mehrdad Majzoobi and Potkonjak, Miodrag
booktitle
chapter
edition
editor
howpublished
institution
journalIEEE Trans. On Signal Processing
month2
note
number
organization
pages626 - 637
publisher
school
series
titleNonparametric Combinatorial Regression for Shape Constrained Modeling
type
volume58
year2010
doi
issn
isbn
urlhttp://dl.acm.org/citation.cfm?id=1737518
pdfNonparametric Combinatorial Regression for Shape Constrained Modeling.pdf

File:Nonparametric Combinatorial Regression for Shape Constrained Modeling.pdf

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Email:
farinaz@ucsd.edu
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Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
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Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
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