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» On Computing Functions with Uncertainty
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JSCIC
2007
89views more  JSCIC 2007»
15 years 6 months ago
Adjoint Recovery of Superconvergent Linear Functionals from Galerkin Approximations. The One-dimensional Case
In this paper, we extend the adjoint error correction of Pierce and Giles [SIAM Review, 42 (2000), pp. 247-264] for obtaining superconvergent approximations of functionals to Gale...
Bernardo Cockburn, Ryuhei Ichikawa
JMLR
2010
186views more  JMLR 2010»
15 years 1 months ago
Dimensionality Estimation, Manifold Learning and Function Approximation using Tensor Voting
We address instance-based learning from a perceptual organization standpoint and present methods for dimensionality estimation, manifold learning and function approximation. Under...
Philippos Mordohai, Gérard G. Medioni
NAR
2011
197views Computer Vision» more  NAR 2011»
14 years 9 months ago
dictyBase update 2011: web 2.0 functionality and the initial steps towards a genome portal for the Amoebozoa
dictyBase (http://www.dictybase.org), the model organism database for Dictyostelium, aims to provide the broad biomedical research community with well integrated, high quality dat...
Pascale Gaudet, Petra Fey, Siddhartha Basu, Yulia ...
SIAMMAX
2011
157views more  SIAMMAX 2011»
14 years 9 months ago
Deflated Restarting for Matrix Functions
We investigate an acceleration technique for restarted Krylov subspace methods for computing the action of a function of a large sparse matrix on a vector. Its effect is to ultima...
Michael Eiermann, Oliver G. Ernst, Stefan Güt...
DAC
1998
ACM
16 years 7 months ago
Functional Vector Generation for HDL Models Using Linear Programming and 3-Satisfiability
Abstract-Our strategy for automatic generation of functional vectors is based on exercising selected paths in the given hardware description language (HDL) model. The HDL model des...
Farzan Fallah, Srinivas Devadas, Kurt Keutzer