Publications related to Multisensor Change Detection with Nonlinear Canonical Correlation

Subsampling as an economic consequence of using whole genome sequence data in landscape genomics: how to maximize environmental information from a reduced number of locations?

Stéphane Joost, Sylvie Stucki, Kevin Leempoel

The recent availability of whole genome sequence (WGS) data implies to reconsider sampling strategies in landscape genomics for economic reasons. Indeed, while we had many individuals and few genetic markers ten years ago, we now face the contrary with hig ...

2014

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Martin Vetterli, David Gontier

Sampling information using timing is an approach that has received renewed attention in sampling theory. The question is how to map amplitude information into the timing domain. One such encoder, called time encoding machine, was introduced by Lazar and To ...

Elsevier2014

Qualitative link between work of adhesion and thermal conductance of metal/diamond interfaces

Christian Monachon, Ludger Weber, Efthimios Kaxiras, Georg Schusteritsch

We report Time-Domain ThermoReflectance experiments measuring the Thermal Boundary Conductance (TBC) of interfaces between diamond and metal surfaces, based on samples consisting of [111] diamond substrates with hydrogen or with sp2 carbon surface terminat ...

Amer Inst Physics2014

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

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 2: Sampling Condensable Compounds

Christian Ludwig, Tilman J. Schildhauer

The performance of a continuous liquid-quench-based sampling system is presented, with regard to the sampling of condensable compounds. Toluene is used as a model molecule representing tars commonly found in the gas streams of biomass gasification plants a ...

Amer Chemical Soc2012

Learning Ridge Functions With Randomized Sampling In High Dimensions

Volkan Cevher, Hemant Tyagi

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

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

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Michele Ceriotti

Multiple time scale molecular dynamics enhances computational efficiency by updating slow motions less frequently than fast motions. However, in practice, the largest outer time step possible is limited not by the physical forces but by resonances between ...

American Institute of Physics2011

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

Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

David Andrew Barry, Luca Rossi, Nathalie Chèvre 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 ...

IWA Publishing2011

Multisensor Change Detection with Nonlinear Canonical Correlation

Graph Chatbot

Chat with Graph Search

Subsampling as an economic consequence of using whole genome sequence data in landscape genomics: how to maximize environmental information from a reduced number of locations?

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Qualitative link between work of adhesion and thermal conductance of metal/diamond interfaces

Role of sampling in evaluating classical time autocorrelation functions

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 2: Sampling Condensable Compounds

Learning Ridge Functions With Randomized Sampling In High Dimensions

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

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Sampling Trajectories for Mobile Sensing

Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters

Sampling based on timing: Time encoding machines on shift-invariant subspaces

Role of sampling in evaluating classical time autocorrelation functions

Liquid-Quench Sampling System for the Analysis of Gas Streams from Biomass Gasification Processes. Part 2: Sampling Condensable Compounds

Qualitative link between work of adhesion and thermal conductance of metal/diamond interfaces

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

Sampling Trajectories for Mobile Sensing

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Subsampling as an economic consequence of using whole genome sequence data in landscape genomics: how to maximize environmental information from a reduced number of locations?

Learning Ridge Functions With Randomized Sampling In High Dimensions

Samplinghelper a web-based tool to assess the reliability of sampling strategies in sewers and receiving waters