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» Functions with prescribed best linear approximations
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ISCAS
1999
IEEE
120views Hardware» more  ISCAS 1999»
13 years 10 months ago
Vector median-rational hybrid filters for multichannel image processing
In this letter, a new class of nonlinear filters called vector median-rational hybrid filters (VMRHF's) for multispectral image processing is introduced and applied to the col...
Lazhar Khriji, Moncef Gabbouj
ESA
2010
Springer
246views Algorithms» more  ESA 2010»
13 years 6 months ago
Estimating the Average of a Lipschitz-Continuous Function from One Sample
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
Abhimanyu Das, David Kempe
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 4 days ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 6 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
WSC
2004
13 years 7 months ago
Portfolio Credit Risk Analysis Involving CDO Tranches
Credit risk analysis for portfolios containing CDO tranches is a challenging task for risk managers. We propose here a basis function approach for CDO tranche valuation and portfo...
Menghui Cao, William J. Morokoff