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JAR
2006
95views more  JAR 2006»
15 years 6 months ago
Mechanizing and Improving Dependency Pairs
The dependency pair technique [1, 11, 12] is a powerful method for automated termination and innermost termination proofs of term rewrite systems (TRSs). For any TRS, it generates ...
Jürgen Giesl, René Thiemann, Peter Sch...
TSP
2008
105views more  TSP 2008»
15 years 6 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
IJCV
2000
110views more  IJCV 2000»
15 years 6 months ago
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...
Javier Portilla, Eero P. Simoncelli
AUTOMATICA
2010
98views more  AUTOMATICA 2010»
15 years 6 months ago
Explicit use of probabilistic distributions in linear predictive control
: The guarantee of feasibility given feasibility at initial time is an issue that has been overlooked by many of the recent papers on stochastic model predictive control. Effective...
Basil Kouvaritakis, Mark Cannon, Sasa V. Rakovic, ...
PVLDB
2010
104views more  PVLDB 2010»
15 years 5 months ago
Boosting the Accuracy of Differentially Private Histograms Through Consistency
We show that it is possible to significantly improve the accuracy of a general class of histogram queries while satisfying differential privacy. Our approach carefully chooses a...
Michael Hay, Vibhor Rastogi, Gerome Miklau, Dan Su...