Publications related to Video Text Recognition using Sequential Monte Carlo and Error Voting Methods

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

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

Analyte quantification with Comprehensive Two-Dimensional Gas Chromatography: Assessment of methods for baseline correction, peak delineation, and matrix effect elimination for real samples

Jeremy Samuel Arey, Jonas Gros, Saer Samanipour, Petros Dimitriou Christidis, Auréline Grange

Comprehensive two-dimensional gas chromatography (GC x GC) is used widely to separate and measure organic chemicals in complex mixtures. However, approaches to quantify analytes in real, complex samples have not been critically assessed. We quantified 7 PA ...

Elsevier2015

Too much success for recent groundbreaking epigenetic experiments

Gregory Francis

An article reporting statistical evidence for epigenetic transfer of learned behavior has important implications, if true. With random sampling, real effects do not always result in rejection of the null hypothesis, but the reported experiments were unifor ...

Genetics Society of America2014

Kinematics of age mixing in advection-dispersion models

Andrea Rinaldo, Paolo Benettin, Gianluca Botter

This paper investigates age mixing processes arising in advection-dispersion models, where large-scale travel and residence time distributions can be explicitly calculated based on the underlying velocity field. In particular, we analyze spatially integrat ...

American Geophysical Union2013

Role of sampling in evaluating classical time autocorrelation functions

Jiri Vanicek, Tomas Zimmermann

We analyze how the choice of the sampling weight affects efficiency of the Monte Carlo evaluation of classical time autocorrelation functions. Assuming uncorrelated sampling or sampling with constant correlation length, we propose a sampling weight for whi ...

American Institute of Physics2013

Remote sensing image segmentation by active queries

Devis Tuia

Active learning deals with developing methods that select examples that may express data characteristics in a compact way. For remote sensing image segmentation, the selected samples are the most informative pixels in the image so that classifiers trained ...

2012

Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling

Jean-Philippe Thiran, Meritxell Bach Cuadra, Subrahmanyam Venkata Ravi Mohana Sai Gorthi

In recent years, multi-atlas fusion methods have gained significant attention in medical image segmentation. In this paper, we propose a general Markov Random Field (MRF) based framework that can perform edge-preserving smoothing of the labels at the time ...

2011

Network Design via Core Detouring for Problems Without a Core

Thomas Rothvoss

Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nodes to a random subset of them. In a recent work [Eisenbrand,Grandoni,Rothvo\ ...

Springer2010

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin to a Slepian-Wolf setup, but in the sampling rather than the lossless compres ...

2010

Video Text Recognition using Sequential Monte Carlo and Error Voting Methods

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Random sampling of bandlimited signals on graphs

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

Analyte quantification with Comprehensive Two-Dimensional Gas Chromatography: Assessment of methods for baseline correction, peak delineation, and matrix effect elimination for real samples

Too much success for recent groundbreaking epigenetic experiments

Kinematics of age mixing in advection-dispersion models

Role of sampling in evaluating classical time autocorrelation functions

Remote sensing image segmentation by active queries

Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling

Network Design via Core Detouring for Problems Without a Core

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Too much success for recent groundbreaking epigenetic experiments

Kinematics of age mixing in advection-dispersion models

Random sampling of bandlimited signals on graphs

Analyte quantification with Comprehensive Two-Dimensional Gas Chromatography: Assessment of methods for baseline correction, peak delineation, and matrix effect elimination for real samples

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

Remote sensing image segmentation by active queries

Fusion of Multi-Atlas Segmentations with Spatial Distribution Modeling

Role of sampling in evaluating classical time autocorrelation functions

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Network Design via Core Detouring for Problems Without a Core