Publications related to Metropolis-Hastings sampling of paths

Shapes from Pixels

In today's digital world, sampling is at the heart of any signal acquisition device. Imaging devices are ubiquitous examples that capture two-dimensional visual signals and store them as the pixels of discrete images. The main concern is whether and how th ...

EPFL2016

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Yue Lu, Ivan Dokmanic

We propose a sampling scheme that can perfectly reconstruct a collection of spikes on the sphere from samples of their lowpass-filtered observations. Central to our algorithm is a generalization of the annihilating filter method, a tool widely used in arra ...

Institute of Electrical and Electronics Engineers2016

Riemannian Optimization For High-Dimensional Tensor Completion

Michael Maximilian Steinlechner

Tensor completion aims to reconstruct a high-dimensional data set where the vast majority of entries is missing. The assumption of low-rank structure in the underlying original data allows us to cast the completion problem into an optimization problem rest ...

Siam Publications2016

Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Generalized Poisson Summation Formula for Tempered Distributions

Michaël Unser, Quy Ha Nguyen

The Poisson summation formula (PSF), which relates the sampling of an analog signal with the periodization of its Fourier transform, plays a key role in the classical sampling theory. In its current forms, the formula is only applicable to a limited class ...

IEEE2015

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Ting Zhu

The goal of the present PhD research is to establish a methodology of nuclear data uncertainty quantification (NDUQ) for MCNPX, the continuous-energy Monte-Carlo (M-C) code. The high fidelity (continuous-energy treatment and flexible geometry modelling) of ...

EPFL2015

Plastic flow mechanisms in microcast aluminium wires

Andreas Mortensen, Jérôme Krebs, Suzanne Godelieve Alphonsine Verheyden

A microcasting process is developed to produce microwires of pure or alloyed aluminium. These wires have a diameter ranging between five and twenty micrometers and have a high aspect ratio, on the order of 50. The wires furthermore are monocrystalline and ...

2015

An overview of robust compressive sensing of sparse signals in impulsive noise

Alonso Ramirez Manzanares, Rafael Eduardo Carrillo Rangel

While compressive sensing (CS) has traditionally relied on L2 as an error norm, a broad spectrum of applications has emerged where robust estimators are required. Among those, applications where the sampling process is performed in the presence of impulsiv ...

2015

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Agnieszka Katarzyna Miedlar

The first algorithms for computing the minimal Geršgorn set were developed by Varga et all. in [17] for the use on small and medium size (dense) matrices. Here, we first discuss the existing methods and present a new approach based on the modified Newton’s ...

MATHICSE2015

Importance sampling for activity path choice

Michel Bierlaire, Antonin Danalet

We propose a model for the choice of an activity pattern. Models of activity participation patterns allow to assess the impact of demand management strategies on activity and destination choices. In particular, we focus on choice set generation of activity ...

2015

Metropolis-Hastings sampling of paths

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Shapes from Pixels

Sampling Sparse Signals on the Sphere: Algorithms and Applications

Riemannian Optimization For High-Dimensional Tensor Completion

Random sampling of bandlimited signals on graphs

Generalized Poisson Summation Formula for Tempered Distributions

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Plastic flow mechanisms in microcast aluminium wires

An overview of robust compressive sensing of sparse signals in impulsive noise

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets

Importance sampling for activity path choice

Shapes from Pixels

Generalized Poisson Summation Formula for Tempered Distributions

Riemannian Optimization For High-Dimensional Tensor Completion

Plastic flow mechanisms in microcast aluminium wires

Sampling-Based Nuclear Data Uncertainty Quantification for Continuous Energy Monte Carlo Codes

Random sampling of bandlimited signals on graphs

Sampling Sparse Signals on the Sphere: Algorithms and Applications

An overview of robust compressive sensing of sparse signals in impulsive noise

Importance sampling for activity path choice

MATHICSE Technical Report : An algorithm for computing minimal Geršgorin sets