Publications related to The Plenacoustic Function and its Sampling

Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

Pierre Magistretti, Corrado Cali, Daniya Boges, Madhusudhanan Srinivasan

Advances in the application of electron microscopy (EM) to serial imaging are opening doors to new ways of analyzing cellular structure. New and improved algorithms and workflows for manual and semiautomated segmentation allow us to observe the spatial arr ...

Wiley-Blackwell2016

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

Fabio Nobile, Giovanni Migliorati

We analyze the accuracy of the discrete least-squares approximation of a function u in multivariate polynomial spaces

P_\Lambda := span\{y \mapsto y^\nu | \nu \in \Lambda\}

with

\Lambda\subset N_0^d

over the domain

\Gamma := [-1,1]^d

, based on the sa ...

MATHICSE2015

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

SVM Active Learning Approach for Image Classification Using Spatial Information

Devis Tuia

In the last few years, active learning has been gaining growing interest in the remote sensing community in optimizing the process of training sample collection for supervised image classification. Current strategies formulate the active learning problem i ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Picogram per liter detections of pyrethroids and organophosphates in surface waters using passive sampling

Juliane Hollender

Pyrethroids and organophosphates are among the most toxic insecticides for aquatic organisms, leading to annual-average environmental quality standards (AA-EQS) in the picogram per liter range in surface waters. For monitoring purposes, it is therefore cru ...

Elsevier2014

Measuring the relative effect of factors affecting species distribution model predictions

Anthony Christopher Davison, Emeric Rolland Georges Thibaud

Species distribution models are increasingly used to address conservation questions, so their predictive capacity requires careful evaluation. Previous studies have shown how individual factors used in model construction can affect prediction. Although som ...

Wiley-Blackwell2014

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

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

2013

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Martin Vetterli, Jayakrishnan Unnikrishnan

Consider the task of sampling and reconstructing a bandlimited spatial field in

\Re^2

using moving sensors that take measurements along their path. It is inexpensive to increase the sampling rate along the paths of the sensors but more expensive to incre ...

Institute of Electrical and Electronics Engineers2013

High-throughput scanning electrochemical microscopy brushing of strongly tilted and curved surfaces

Hubert Girault, Andreas Stephan Lesch, Fernando Cortes Salazar, Dmitry Momotenko, Gunther Wittstock

The feasibility of high-throughput scanning electrochemical microscopy (SECM) of strongly tilted (tilt angles ≤4°) and curved substrates (diameter of curvature ≥9 cm) is demonstrated by brushing them with a soft linear array of carbon microelectrodes. This ...

Elsevier2013

The Plenacoustic Function and its Sampling

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Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

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

SVM Active Learning Approach for Image Classification Using Spatial Information

Picogram per liter detections of pyrethroids and organophosphates in surface waters using passive sampling

Measuring the relative effect of factors affecting species distribution model predictions

Metropolis-Hastings sampling of paths

Linear Bayesian Reinforcement Learning

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

High-throughput scanning electrochemical microscopy brushing of strongly tilted and curved surfaces

Measuring the relative effect of factors affecting species distribution model predictions

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

Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues

MATHICSE Technical Report : Discrete least-squares approximations over optimized downward closed polynomial spaces in arbitrary dimension

SVM Active Learning Approach for Image Classification Using Spatial Information

Picogram per liter detections of pyrethroids and organophosphates in surface waters using passive sampling

Metropolis-Hastings sampling of paths

Linear Bayesian Reinforcement Learning

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

High-throughput scanning electrochemical microscopy brushing of strongly tilted and curved surfaces