Publication

Role of sampling in evaluating classical time autocorrelation functions

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Sampling-helper: A web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

David Andrew Barry, Luca Rossi

Sampling is a key step in the analysis of chemical compounds. It is particularly important in the environmental field, for example for wastewater effluents, wet-weather discharges or streams in which the flows and concentrations vary greatly over time. In ...

GRAIE2010

Distributed Sensing of Signals under a Sparse Filtering Model

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We consider the task of recovering correlated vectors at a central decoder based on fixed linear measurements obtained by distributed sensors. Two different scenarios are considered: In the case of universal reconstruction, we look for a sensing and recove ...

2009

Halton Sampling for Image Registration Based on Mutual Information

Michel Bierlaire, Michaël Unser, Philippe Thévenaz

Mutual information is a widely used similarity measure for aligning multimodal medical images. At its core it relies on the computation of a discrete joint histogram, which itself requires image samples for its estimation. In this paper we study the influe ...

Sampling Publishing2008

Consistent Sampling and Signal Recovery

Michaël Unser

An attractive formulation of the sampling problem is based on the principle of a consistent signal reconstruction. The requirement is that the reconstructed signal is indistinguishable from the input in the sense that it yields the exact same measurements. ...

Institute of Electrical and Electronics Engineers2007

Stable computation of probability densities for metastable dynamical systems

Lionel Walter

Whenever the invariant stationary density of metastable dynamical systems decomposes into almost invariant partial densities, its computation as eigenvector of some transition probability matrix is an ill-conditioned problem. In order to avoid this computa ...

Society for Industrial and Applied Mathematics2007

Video Text Recognition using Sequential Monte Carlo and Error Voting Methods

Jean-Marc Odobez, Datong Chen

This paper addresses the issue of segmentation and recognition of text embedded in video sequences from their associated text image sequence extracted by a text detection module. To this end, we propose a probabilistic algorithm based on Bayesian adaptive ...

2005

An Extension of Oblique Projection Sampling Theorem

Michaël Unser

In this paper, we discuss the sampling problem without a condition that was assumed in conventional sampling theorems. This means that we cannot perfectly reconstruct all functions in the reconstruction space. The perfect reconstruction is possible only fo ...

SampTA2005

Sequential Monte Carlo Video Text Segmentation

Jean-Marc Odobez, Datong Chen

This paper presents a probabilistic algorithm for segmenting text embedded in video based on Monte Carlo sampling. The algorithm approximates the posterior of segmentation thresholds of video text by a set of weighted samples, referred to as particles. The ...

2003

Monte Carlo Video Text Segmentation

Jean-Marc Odobez, Datong Chen

IDIAP2003

Video Text Segmentation Using Particle Filters

Jean-Marc Odobez, Datong Chen

This paper presents a probabilistic algorithm for segmenting and recognizing text embedded in video sequences based on adaptive thresholding using a Bayes filtering method. The algorithm approximates the posterior distribution of segmentation thresholds of ...

IDIAP2003