Publications related to Comparison of two methods for bioaerosol sampling and characterization in a low-biomass chamber environment

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Volkan Cevher, Baran Gözcü, Thomas Sanchez

In the last decade, Compressive Sensing (CS) has emerged as the most promising, model-driven approach to accelerate MRI scans. CS relies on the key sparsity assumption and proposes random sampling for data acquisition. The practical CS approaches in MRI em ...

IEEE2019

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Michaël Unser, Quy Ha Nguyen

In our recent work, the sampling and reconstruction of non-decaying signals, modeled as members of weighted-L-p spaces, were shown to be stable with an appropriate choice of the generating kernel for the shift-invariant reconstruction space. In this paper, ...

2019

Retroactive Packet Sampling for Traffic Receipts

Pavlos Nikolopoulos, Adrian Perrig, Christos Pappas

Is it possible to design a packet-sampling algorithm that prevents the network node that performs the sampling from treating the sampled packets preferentially? We study this problem in the context of designing a "network transparency" system. In this syst ...

ACM2019

Safe Adaptive Importance Sampling

Martin Jaggi, Sebastian Urban Stich, Anant Raj

Importance sampling has become an indispensable strategy to speed up optimization algorithms for large-scale applications. Improved adaptive variants - using importance values defined by the complete gradient information which changes during optimization - ...

2017

Sampling at unknown locations, with an application in surface retrieval

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Michalina Wanda Pacholska

We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from t ...

2017

Shapes from Pixels

Mitra Fatemi

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

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

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

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 ...

2013

PyroTRF-ID: a novel bioinformatics methodology for the affiliation of terminal-restriction fragments using 16S rRNA gene pyrosequencing data

Christof Holliger, Julien Maillard, Pierre Rossi, Jacques Rougemont, David Gregory Weissbrodt, Noam Shani, Lucas Sinclair

The PyroTRF-ID bioinformatics methodology (http://bbcf.epfl.ch/PyroTRF-ID/) was developed to combine pyrosequencing and T-RFLP for describing microbial communities and identifying T-RFs by comparison of experimental and digital T-RFLP profiles obtained fro ...

2013

Comparison of two methods for bioaerosol sampling and characterization in a low-biomass chamber environment

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Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Retroactive Packet Sampling for Traffic Receipts

Safe Adaptive Importance Sampling

Sampling at unknown locations, with an application in surface retrieval

Shapes from Pixels

Random sampling of bandlimited signals on graphs

Too much success for recent groundbreaking epigenetic experiments

Metropolis-Hastings sampling of paths

PyroTRF-ID: a novel bioinformatics methodology for the affiliation of terminal-restriction fragments using 16S rRNA gene pyrosequencing data

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Sampling at unknown locations, with an application in surface retrieval

PyroTRF-ID: a novel bioinformatics methodology for the affiliation of terminal-restriction fragments using 16S rRNA gene pyrosequencing data

Too much success for recent groundbreaking epigenetic experiments

Rethinking Sampling in Parallel MRI: A Data-Driven Approach

Safe Adaptive Importance Sampling

Random sampling of bandlimited signals on graphs

Shapes from Pixels

Metropolis-Hastings sampling of paths

Retroactive Packet Sampling for Traffic Receipts