Publications related to Shapes from Pixels

Learning Ridge Functions With Randomized Sampling In High Dimensions

We study the problem of learning ridge functions of the form f(x) = g(aT x), x ∈ ℝd, from random samples. Assuming g to be a twice continuously differentiable function, we leverage techniques from low rank matrix recovery literature to derive a uniform app ...

IEEE2012

OptiMoS: Optimal Sensing for Mobile Sensors

Karl Aberer, Julien Eberle, Zhixian Yan

Both sensor coverage maximization and energy cost minimization are the fundamental requirements in the design of real-life mobile sensing applications, e.g., (1) deploying environ- mental sensors (like CO2, fine particle measurement) on public transports t ...

2012

Fast and Robust Parametric Estimation of Jointly Sparse Channels

Martin Vetterli, Yann Barbotin

We consider the joint estimation of multipath channels obtained with a set of receiving antennas and uniformly probed in the frequency domain. This scenario fits most of the modern outdoor communication protocols for mobile access (ETSI Std. 125 913) or di ...

2012

Test Results of ITER Correction Coil Short Samples CCCN1 and CCCN2

Pierluigi Bruzzone

This paper presents the first benchmarking test results of ITER correction coil (CC) conductor short samples CCCN1 and CCCN2. The Chinese first CC conductor short sample CCCN1 was prepared and tested at the Institute of Plasma Physics, Chinese Academy of S ...

American Nuclear Society2012

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

Robust algorithm for aligning two-dimensional chromatograms

Jeremy Samuel Arey, Jonas Gros, Petros Dimitriou Christidis, Rebecca Rutler, Deedar Nabi

Comprehensive, two-dimensional gas chromatography (GC x GC) chromatogram's typically exhibit run-to-run retention time variability. Chromatogram alignment is often a desirable step prior to further analysis of the data, for example, in studies of environme ...

Amer Chemical Soc2012

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2011

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and he ...

2011

Metropolis-Hastings sampling of paths

Michel Bierlaire, Gunnar Flötteröd

We consider the previously unsolved problem of sampling cycle-free paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all p ...

2011

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

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Learning Ridge Functions With Randomized Sampling In High Dimensions

OptiMoS: Optimal Sensing for Mobile Sensors

Fast and Robust Parametric Estimation of Jointly Sparse Channels

Test Results of ITER Correction Coil Short Samples CCCN1 and CCCN2

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

Robust algorithm for aligning two-dimensional chromatograms

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Resolution-Invariant Separable Arma Modeling Of Images

Fast and Robust Parametric Estimation of Jointly Sparse Channels

Robust algorithm for aligning two-dimensional chromatograms

Metropolis-Hastings sampling of paths

Metropolis-Hastings sampling of paths

Resolution-Invariant Separable Arma Modeling Of Images

OptiMoS: Optimal Sensing for Mobile Sensors

Learning Ridge Functions With Randomized Sampling In High Dimensions

Test Results of ITER Correction Coil Short Samples CCCN1 and CCCN2

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

Metropolis-Hastings sampling of paths