Scalable Color Sketch based Search of Millions of Images Tu Bui, University of Surrey; and John Collomosse, University of Surrey The volume of visual data consumed on mobile devices is growing exponentially. Gestural int

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Bui l di ng“ B”&“ C”

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FEM-Based Discretization-Invariant MCMC Methods for PDE-constrained Bayesian Inverse Problems Tan Bui-Thanh Department of Aerospace Engineering and Engineering Mechanics Institute for Computational Engineering & Sciences

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AIAA JOURNAL Vol. 46, No. 10, October 2008 Parametric Reduced-Order Models for Probabilistic Analysis of Unsteady Aerodynamic Applications T. Bui-Thanh∗ and K. Willcox†

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A SCALED STOCHASTIC NEWTON ALGORITHM FOR MARKOV CHAIN MONTE CARLO SIMULATIONS TAN BUI-THANH † AND

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ACCELERATING MCMC WITH ACTIVE SUBSPACES arXiv:1510.00024v1 [math.NA] 30 Sep 2015 PAUL G. CONSTANTINE∗ , CARSON KENT† , AND TAN BUI-THANH‡ Abstract. The Markov chain Monte Carlo (MCMC) method is the computational w

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From Rankine-Hugoniot Condition to a Constructive Derivation of HDG Methods Tan Bui-Thanh Abstract This chapter presents a constructive derivation of HDG methods for convection-diffusion-reaction equation using the Ranki

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AIAA JOURNAL Vol. 42, No. 8, August 2004 Aerodynamic Data Reconstruction and Inverse Design Using Proper Orthogonal Decomposition T. Bui-Thanh∗ and M. Damodaran†

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ICES REPORTFebruary 2015 Bayes is Optimal by Tan Bui-Thanh and Omar Ghattas

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