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Dense Depth Estimation from Omnidirectional Images

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Optimal Linear Fusion for Distributed Detection Via Semidefinite Programming

Ali H. Sayed

Consider the problem of signal detection via multiple distributed noisy sensors. We study a linear decision fusion rule of [Z. Quan, S. Cui, and A. H. Sayed, ¿Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks,¿ IEEE J. Sel. Topics ...

IEEE2010

Image Reconstruction in the Gigavision Camera

Martin Vetterli, Edoardo Charbon, Sabine Süsstrunk, Luciano Sbaiz, Feng Yang

Recently we have proposed a new image device called the gigavision camera. The main feature of this camera is that the pixels have a binary response. The response function of a gigavision sensor is non-linear and similar to a logarithmic function, which ma ...

2009

Real-time input-constrained MPC using fast gradient methods

Colin Neil Jones

Linear quadratic model predictive control (MPC) with input constraints leads to an optimization problem that has to be solved at every instant in time. Although there exists computational complexity analysis for current online optimization methods dedicate ...

IEEE2009

Towards Global Bilevel Dynamic Optimization

Benoît Chachuat

The global solution of bilevel dynamic optimization problems is discussed. An overview of a deterministic algorithm for bilevel programs with nonconvex functions participating is given, followed by a summary of deterministic algorithms for the global solut ...

2009

Analysis of F0 and Cepstral Features for Robust Automatic Gender Recognition

In this paper, we analyze applicability of F0 and cepstral features, namely LPCCs, MFCCs, PLPs for robust Automatic Gender Recognition (AGR). Through gender recognition studies on BANCA corpus comprising datasets of varying complexity, we show that use of ...

Idiap2009

Multiline Addressing by Network Flow

Friedrich Eisenbrand

We consider an optimization problem arising in the design of controllers for OLED displays. Our objective is to minimize amplitude of the electrical current through the diodes which has a direct impact on the lifetime of such a display. Modeling the proble ...

2009

M-DPOP: Faithful distributed implementation of efficient social choice problems

Boi Faltings, Adrian Petcu, David C. Parkes

In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agents, where each agent has private information about its utility function. In th ...

2008

Neighboring extremals in optimization and control

Sébastien Gros

Optimization arises naturally when process performance needs improvement. This is often the case in industry because of competition – the product has to be proposed at the lowest possible cost. From the point of view of control, optimization consists in de ...

EPFL2007

A heuristic for nonlinear global optimization relevant to discrete choice models estimation

Michel Bierlaire, Michaël Clément Louis Ghislain Thémans, Nicolas Zufferey

In most applications related to transportation, it is of major importance to be able to identify the global optimum of the associated optimization problem. The work we present in this paper is motivated by the optimization problems arising in the maximum l ...

2007

Dense Disparity Estimation from Omnidirectional Images

Pascal Frossard, Zafer Arican

This paper addresses the problem of dense estimation of disparities between omnidirectional images, in a spherical framework. Omnidirectional imaging certainly represents important advantages for the representation and processing of the plenoptic function ...

2007