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» Robust Algorithms for Object Localization
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EMNLP
2011
14 years 2 months ago
Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
We present new training methods that aim to mitigate local optima and slow convergence in unsupervised training by using additional imperfect objectives. In its simplest form, lat...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
SIAMNUM
2010
95views more  SIAMNUM 2010»
14 years 9 months ago
Robust BDDC Preconditioners for Reissner-Mindlin Plate Bending Problems and MITC Elements
A Balancing Domain Decomposition Method by Constraints (BDDC) is constructed and analyzed for the Reissner-Mindlin plate bending problem discretized with MITC finite elements. This...
L. Beirão da Veiga, C. Chinosi, Carlo Lovad...
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NIPS
2004
15 years 3 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
SCALESPACE
1999
Springer
15 years 6 months ago
Fast Marching to Moving Object Location
In this paper we address two important problems in motion analysis: the detection of moving objects and their localization. Statistical and level set approaches are adopted in orde...
Eftychios Sifakis, George Tziritas
BMCBI
2010
152views more  BMCBI 2010»
15 years 2 months ago
FITBAR: a web tool for the robust prediction of prokaryotic regulons
Background: The binding of regulatory proteins to their specific DNA targets determines the accurate expression of the neighboring genes. The in silico prediction of new binding s...
Jacques Oberto