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» Estimating the Information Theoretic Optimal Stego Noise
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84
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CVPR
2000
IEEE
15 years 11 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
TSP
2010
14 years 4 months ago
Source extraction by maximizing the variance in the conditional distribution tails
This paper presents a method for signal extraction based on conditional second-order moments of the output of the extraction filter. The estimator of the filter is derived from an ...
Ronald Phlypo, Vicente Zarzoso, Ignace Lemahieu
83
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ICC
2007
IEEE
15 years 4 months ago
MIMO LMMSE Transceiver Design with Imperfect CSI at Both Ends
— This paper presents a new result on minimum total mean squared error (MSE) joint transceiver design for multiple-input multiple-output (MIMO) systems, with imperfect channel st...
Minhua Ding, Steven D. Blostein
72
Voted
INFORMS
2000
128views more  INFORMS 2000»
14 years 9 months ago
A Revised Simplex Search Procedure for Stochastic Simulation Response Surface Optimization
We develop a variant of the Nelder-Mead (NM) simplex search procedure for stochastic simulation optimization that is designed to avoid many of the weaknesses encumbering such dire...
David G. Humphrey, James R. Wilson
172
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SIGMOD
2005
ACM
128views Database» more  SIGMOD 2005»
15 years 9 months ago
Deriving Private Information from Randomized Data
Randomization has emerged as a useful technique for data disguising in privacy-preserving data mining. Its privacy properties have been studied in a number of papers. Kargupta et ...
Zhengli Huang, Wenliang Du, Biao Chen