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» Missing Data Estimation Using Polynomial Kernels
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91
Voted
CDC
2009
IEEE
186views Control Systems» more  CDC 2009»
15 years 4 months ago
Distributed function and time delay estimation using nonparametric techniques
In this paper we analyze the problem of estimating a function from different noisy data sets collected by spatially distributed sensors and subject to unknown temporal shifts. We p...
Damiano Varagnolo, Gianluigi Pillonetto, Luca Sche...
BCS
2008
15 years 1 months ago
Fast Estimation of Nonparametric Kernel Density Through PDDP, and its Application in Texture Synthesis
In this work, a new algorithm is proposed for fast estimation of nonparametric multivariate kernel density, based on principal direction divisive partitioning (PDDP) of the data s...
Arnab Sinha, Sumana Gupta
83
Voted
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
15 years 5 months ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...
97
Voted
ICIP
1998
IEEE
16 years 2 months ago
Blind Estimation of PSF for Out of Focus Video Data
A method has beenproposed for blindly estimating the Point Spread Function (PSF) of video data. The PSF's of the images in a sequence are assumed to be of compact support and...
Hassan Shekarforoush, Rama Chellappa
93
Voted
ESANN
2003
15 years 1 months ago
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression
In this paper we extend a form of kernel ridge regression for data characterised by a heteroscedastic noise process (introduced in Foxall et al. [1]) in order to provide approxima...
Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Fo...