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» Input Modeling Using Quantile Statistical Methods
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TSP
2008
102views more  TSP 2008»
13 years 10 months ago
Spatially Adaptive Estimation via Fitted Local Likelihood Techniques
Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
Vladimir Katkovnik, Vladimir Spokoiny
SIGDIAL
2010
13 years 8 months ago
Parameter estimation for agenda-based user simulation
This paper presents an agenda-based user simulator which has been extended to be trainable on real data with the aim of more closely modelling the complex rational behaviour exhib...
Simon Keizer, Milica Gasic, Filip Jurcícek,...
ICASSP
2011
IEEE
13 years 2 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
JMLR
2011
148views more  JMLR 2011»
13 years 5 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara
CVPR
2010
IEEE
13 years 7 months ago
Curious snakes: A minimum latency solution to the cluttered background problem in active contours
We present a region-based active contour detection algorithm for objects that exhibit relatively homogeneous photometric characteristics (e.g. smooth color or gray levels), embedd...
Ganesh Sundaramoorthi, Stefano Soatto, Anthony J. ...