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» On Unbiased Linear Approximations
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TIP
2011
170views more  TIP 2011»
13 years 2 months ago
Image Denoising in Mixed Poisson-Gaussian Noise
—We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson–Gau...
Florian Luisier, Thierry Blu, Michael Unser
SIGPRO
2010
154views more  SIGPRO 2010»
13 years 5 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo
IPL
2000
82views more  IPL 2000»
13 years 7 months ago
Estimating the number of vertices of a polyhedron
Given a polyhedron P by a list of inequalities we develop unbiased estimates of the number of vertices and bases of P. The estimates are based on applying tree estimation methods ...
David Avis, Luc Devroye
SIGMOD
2010
ACM
154views Database» more  SIGMOD 2010»
13 years 7 months ago
Unbiased estimation of size and other aggregates over hidden web databases
Many websites provide restrictive form-like interfaces which allow users to execute search queries on the underlying hidden databases. In this paper, we consider the problem of es...
Arjun Dasgupta, Xin Jin, Bradley Jewell, Nan Zhang...
JMLR
2012
11 years 9 months ago
UPAL: Unbiased Pool Based Active Learning
In this paper we address the problem of pool based active learning, and provide an algorithm, called UPAL, that works by minimizing the unbiased estimator of the risk of a hypothe...
Ravi Ganti, Alexander Gray