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TSP
2008
115views more  TSP 2008»
14 years 8 months ago
The Estimation of Laplace Random Vectors in Additive White Gaussian Noise
This paper develops and compares the maximum a posteriori (MAP) and minimum mean-square error (MMSE) estimators for spherically contoured multivariate Laplace random vectors in add...
Ivan W. Selesnick
71
Voted
CAD
2007
Springer
14 years 9 months ago
Error analysis of reparametrization based approaches for curve offsetting
This paper proposes an error analysis of reparametrization based approaches for planar curve offsetting. The approximation error in Hausdorff distance is computed. The error is bo...
Hong-Yan Zhao, Guo-Jin Wang
93
Voted
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 9 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
JMLR
2012
13 years 4 days ago
Bounding the Probability of Error for High Precision Optical Character Recognition
We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. L...
CORR
2010
Springer
210views Education» more  CORR 2010»
14 years 9 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad