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» On multivariate estimation by thresholding
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89
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TSP
2008
143views more  TSP 2008»
14 years 9 months ago
A Nonlinear Stein-Based Estimator for Multichannel Image Denoising
The use of multicomponent images has become widespread with the improvement of multisensor systems having increased spatial and spectral resolutions. However, the observed images ...
Caroline Chaux, Laurent Duval, Amel Benazza-Benyah...
ACISP
2005
Springer
15 years 3 months ago
Building Secure Tame-like Multivariate Public-Key Cryptosystems: The New TTS
Abstract. Multivariate public-key cryptosystems (sometimes polynomial-based PKC’s or just multivariates) handle polynomials of many variables over relatively small fields instea...
Bo-Yin Yang, Jiun-Ming Chen
72
Voted
ICIP
2009
IEEE
15 years 10 months ago
Efficient Multivariate Skellam Shrinkage For Denoising Photon-limited Image Data: An Empirical Bayes Approach
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...
71
Voted
STOC
2003
ACM
110views Algorithms» more  STOC 2003»
15 years 10 months ago
New degree bounds for polynomial threshold functions
A real multivariate polynomial p(x1, . . . , xn) is said to sign-represent a Boolean function f : {0, 1}n {-1, 1} if the sign of p(x) equals f(x) for all inputs x {0, 1}n. We gi...
Ryan O'Donnell, Rocco A. Servedio
ESEM
2008
ACM
14 years 11 months ago
Fit data selection for software effort estimation models
To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set bas...
Koji Toda, Akito Monden, Ken-ichi Matsumoto