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» Quantile approximation for robust statistical estimation
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ISIPTA
2003
IEEE
126views Mathematics» more  ISIPTA 2003»
14 years 21 days ago
Robust Estimators under the Imprecise Dirichlet Model
Walley’s Imprecise Dirichlet Model (IDM) for categorical data overcomes several fundamental problems which other approaches to uncertainty suffer from. Yet, to be useful in prac...
Marcus Hutter
TROB
2008
169views more  TROB 2008»
13 years 7 months ago
Visual Servoing Based on Structure From Controlled Motion or on Robust Statistics
Abstract--This paper focuses on the way to achieve accurate visual servoing tasks when the shape of the object being observed as well as the desired image are unknown. More precise...
Christophe Collewet, François Chaumette
ECCV
2004
Springer
14 years 9 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...
ICASSP
2011
IEEE
12 years 11 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
ICASSP
2008
IEEE
14 years 1 months ago
Multi-source DOA estimation in a reverberant room
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
Andreas M. Ali, Ralph E. Hudson, Kung Yao