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» On multivariate estimation by thresholding
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ICCV
2011
IEEE
14 years 4 months ago
RECON: Scale-Adaptive Robust Estimation via Residual Consensus
In this paper, we present a novel, threshold-free robust estimation framework capable of efficiently fitting models to contaminated data. While RANSAC and its many variants have...
Rahul Raguram, Jan-Michael Frahm
ECCV
2004
Springer
16 years 6 months ago
A Robust Algorithm for Characterizing Anisotropic Local Structures
This paper proposes a robust estimation and validation framework for characterizing local structures in a positive multi-variate continuous function approximated by a Gaussian-base...
Kazunori Okada, Dorin Comaniciu, Navneet Dalal, Ar...
JMLR
2006
143views more  JMLR 2006»
15 years 4 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
TSP
2010
14 years 10 months ago
Coherence-based performance guarantees for estimating a sparse vector under random noise
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 +w, where w represents white Gaussian noise and A is a given determinis...
Zvika Ben-Haim, Yonina C. Eldar, Michael Elad
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
15 years 10 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan