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Exploring Local Modifications for Constrained Meshes

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A constraint sampling approach for multi-stage robust optimization

Daniel Kuhn

We propose a tractable approximation scheme for convex (not necessarily linear) multi-stage robust optimization problems. We approximate the adaptive decisions by finite linear combinations of prescribed basis functions and demonstrate how one can optimize ...

Elsevier2012

Spectral Sharpening by Spherical Sampling

Sabine Süsstrunk

There are many works in colour that assume illumination change can be modelled by multiplying sensor responses by individual scaling factors. The early research in this area are sometimes grouped under the heading von Kries adaptation: the scaling factors ...

2012

Deformable shape models for 2D object segmentation

Robin Thandiackal

Given a set of images showing individual 2D instances of an object class, the goal is to learn object class deformation in 2D for segmentation automatically. Class deformation is modelled by linear combinations of basis shapes. Usually, given segmentation ...

2011

Optimal image alignment with random projections of manifolds: algorithm and geometric analysis

Pascal Frossard, Daniel Kressner, Effrosyni Kokiopoulou

This paper addresses the problem of image alignment based on random measurements. Image alignment consists of estimating the relative transformation between a query image and a reference image. We consider the specific problem where the query image is prov ...

2011

Modeling and Flatness of Rigid and Flexible Cable Suspended Underactuated Robots

Philippe Müllhaupt, Basile Graf

A modeling framework is proposed for the control of rigid and flexible cable-like systems such as cranes, together with a systematic algorithm for computing flat outputs of mechanical systems for which the flat output is a linear combination of the free co ...

2010

A Novel Criterion for Classifiers Combination in Multistream Speech Recognition

Fabio Valente

In this paper we propose a novel information theoretic criterion for optimizing the linear combination of classifiers in multi stream automatic speech recognition. We discuss an objective function that achieves a trade-off between the minimization of a bou ...

2009

Analysis of an algebraic Petrov-Galerkin smoothed aggregation multigrid method

We give a convergence estimate for a Petrov-Galerkin Algebraic Multigrid method. In this method, the prolongations are defined using the concept of smoothed aggregation while the restrictions are simple aggregation operators. The analysis is carried out by ...

2008

Kernel Matching Pursuit for Large Datasets

Jean-Philippe Thiran, Vlad Popovici

Kernel matching pursuit is a greedy algorithm for building an approximation of a discriminant function as a linear combination of some basis functions selected from a kernel-induced dictionary. Here we propose a modification of the kernel matching pursuit ...

2005

Shape Estimation of 3-D DNA Molecules from Stereo Cryo-Electron Micro-Graphs

Michaël Unser, Thierry Blu, Mathews Jacob

We introduce a 3-D parametric active contour algorithm for the shape estimation of DNA molecules from stereo cryo-electron micrographs. We consider a 3-D filament (consisting of a B-spline skeleton and a specified radial profile) and match its projections ...

IEEE2004

Modeling and control of thermoacoustic instabilities

This work deals with modeling and control of thermoacoustic combustion instabilities in lean premixed combustion systems. Because of the complex interactions present in thermoacoustic systems, a network modeling approach is used. The model of each network ...

EPFL2003