Publications related to Resolution-Invariant Separable ARMA Modeling of Images

Multisensor Change Detection with Nonlinear Canonical Correlation

Devis Tuia, Frank Grégoire Jean de Morsier

The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of ...

2013

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Michaël Unser, John Paul Ward, Hagay Kirshner

We consider the problem of sampling continuous-time auto-regressive processes on a uniform grid. We investigate whether a given sampled process originates from a single continuous-time model, and address this uniqueness problem by introducing an alternativ ...

IEEE2012

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Stéphane Joost, Kevin Leempoel

In the field of landscape genetics, environmental variables are needed to assess the influence of the environment on the spatial distribution of the genetic information of animals or plants. However, measuring variables (e.g. temperature, precipitation) at ...

Lulu.com2012

Assessment of UHPFRC based bridge rehabilitation in Slovenia, Two years after application

Emmanuel Denarié

Within the framework of the EU FP6 Project ARCHES, improved Ultra High Performance Fibre Reinforced Concretes (UHPFRC) based on local components were developed and applied to the rehabilitation of an 36 years old reinforced concrete bridge in Slovenia. Two ...

Uni Kassel2012

Resolution-Invariant Separable Arma Modeling Of Images

Michaël Unser, Aurélien Bourquard, Hagay Kirshner

We suggest a continuous-domain stochastic modeling of images that is invariant to spatial resolution. Specifically, we are proposing an estimator that is calibrated with respect to the sampling step, and that can potentially handle aliased data. Motivated ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

A Sampling Theory Approach for Continuous ARMA Identification

Michaël Unser, Hagay Kirshner, Simona Maggio

The problem of estimating continuous-domain autoregressive moving-average processes from sampled data is considered. The proposed approach incorporates the sampling process into the problem formulation while introducing exponential models for both the cont ...

IEEE2011

Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

Classical sampling theory for sampling and reconstructing bandlimited fields in

\Re^d

addresses the problem of sampling on lattice points. We consider a generalization of this problem, in which one samples the field along

1

-dimensional spatial trajecto ...

2011

Choice set generation for iterated DTA simulations

Michel Bierlaire, Gunnar Flötteröd

We apply the Metropolis-Hastings algorithm to efficiently sample from arbitrary paths distributions in a general network. Paths can be generalized into all-day travel plans through, e.g., an appropriate network expansion. The Metropolis-Hastings algorithm ...

2011

Stabilization of the cart-pendulum system through approximate manifold decomposition

Dominique Bonvin, Philippe Müllhaupt, David Ingram

This paper proposes a feedback law capable of swinging up and stabilizing the cartpendulum system. The approach uses an iterative algorithm that is typically used to construct a locally linearizing output for nonlinear control-affine systems. However, rath ...

2011

Maximum-Likelihood Identification of Sampled Gaussian Processes

Michaël Unser, Hagay Kirshner, Simona Maggio

This work considers sampled data of continuous-domain Gaussian processes. We derive a maximum-likelihood estimator for identifying autoregressive moving average parameters while incorporating the sampling process into the problem formulation. The proposed ...

SampTA2011

Resolution-Invariant Separable ARMA Modeling of Images

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Multisensor Change Detection with Nonlinear Canonical Correlation

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Assessment of UHPFRC based bridge rehabilitation in Slovenia, Two years after application

Resolution-Invariant Separable Arma Modeling Of Images

A Sampling Theory Approach for Continuous ARMA Identification

Sampling Trajectories for Mobile Sensing

Choice set generation for iterated DTA simulations

Stabilization of the cart-pendulum system through approximate manifold decomposition

Maximum-Likelihood Identification of Sampled Gaussian Processes

Resolution-Invariant Separable Arma Modeling Of Images

Assessment of UHPFRC based bridge rehabilitation in Slovenia, Two years after application

Multisensor Change Detection with Nonlinear Canonical Correlation

Relatedness and scale dependency in very high resolution digital elevation models derivatives

Sampling Trajectories for Mobile Sensing

Choice set generation for iterated DTA simulations

Maximum-Likelihood Identification of Sampled Gaussian Processes

A Sampling Theory Approach for Continuous ARMA Identification

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Stabilization of the cart-pendulum system through approximate manifold decomposition