Publications related to Random variable

Simple probabilistic modeling of granular jamming and validation using DEM

Thomas Liebling, Lionel Pournin, Michel Tsukahara

We study the flow of grains in a bi-dimensional hopper. We propose a simple continuous probabilistic flow model: from uniformly random positions in the hopper, particles evolve without interaction towards the hopper aperture and jamming occurs if sufficien ...

AIP2009

On Random Tomography with Unobservable Projection Angles

Victor Panaretos

We formulate and investigate a statistical inverse problem of a random tomographic nature, where a probability density function on

\mathbb{R}^3

is to be recovered from observation of finitely many of its two-dimensional projections in random and unobserv ...

Institute of Mathematical Statistics2009

A Comprehensive Stochastic Model of Window Usage: Theory and Validation

Darren Robinson, Frédéric Haldi

Based on almost seven years of continuous measurements we have analysed in detail the influence of occupancy patterns, indoor temperature and outdoor climate parameters (temperature, wind speed and direction, relative humidity and rainfall) on window openi ...

2009

Interleaving bisection stimuli - randomly or in sequence - does not disrupt perceptual learning, it just makes it more difficult

Michael Herzog, Carl Kristoffer Aberg

Presenting stimuli of two or more stimulus types randomly interleaved, so called roving, disrupts perceptual learning in many paradigms. Recently, it was shown that no disruption occurs when Gabor stimuli were presented interleaved in sequence, instead of ...

Elsevier2009

Recovery of Compressible Signals in Unions of Subspaces

Volkan Cevher

Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals; instead of taking periodic samples, we measure inner products with All < N random vectors and then recover the signal via a sparsity-s ...

2009

Interactions with window openings by office occupants

Darren Robinson, Frédéric Haldi

Based on almost seven years of continuous measurements, we have analysed in detail the influence of occupancy patterns, indoor temperature and outdoor climate parameters (temperature, wind speed and direction, relative humidity and rainfall) on window open ...

2009

A Comparison of Techniques for Sampling Web Pages

Monika Henzinger, Eda Baykan

As the World Wide Web is growing rapidly, it is getting increasingly challenging to gather representative information about it. Instead of crawling the web exhaustively one has to resort to other techniques like sampling to determine the properties of the ...

2009

Distributed Compressed Sensing for Sensor Networks Using Thresholding

Pierre Vandergheynst, Mohammad Golbabaee

Distributed compressed sensing is the extension of compressed sampling (CS) to sensor networks. The idea is to design a CS joint decoding scheme at a central decoder (base station) that exploits the inter-sensor correlations, in order to recover the whole ...

2009

Support Recovery in Compressed Sensing: An Estimation Theoretic Approach

Martin Vetterli, Amin Karbasi, Ali Hormati

Compressed sensing (CS) deals with the reconstruction of sparse signals from a small number of linear measurements. One of the main challenges in CS is to find the support of a sparse signal from a set of noisy observations. In the CS literature, several i ...

2009

Support Recovery in Compressed Sensing: An Estimation Theoretic Approach

Martin Vetterli, Amin Karbasi, Ali Hormati

Compressed sensing (CS) deals with the reconstruction of sparse signals from a small number of linear measurements. One of the main challenges in CS is to find the support of a sparse signal from a set of noisy observations. In the CS literature, several i ...

2009

Random variable

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Simple probabilistic modeling of granular jamming and validation using DEM

On Random Tomography with Unobservable Projection Angles

A Comprehensive Stochastic Model of Window Usage: Theory and Validation

Interleaving bisection stimuli - randomly or in sequence - does not disrupt perceptual learning, it just makes it more difficult

Recovery of Compressible Signals in Unions of Subspaces

Interactions with window openings by office occupants

A Comparison of Techniques for Sampling Web Pages

Distributed Compressed Sensing for Sensor Networks Using Thresholding

Support Recovery in Compressed Sensing: An Estimation Theoretic Approach

Support Recovery in Compressed Sensing: An Estimation Theoretic Approach

On Random Tomography with Unobservable Projection Angles

Interleaving bisection stimuli - randomly or in sequence - does not disrupt perceptual learning, it just makes it more difficult

Simple probabilistic modeling of granular jamming and validation using DEM

Support Recovery in Compressed Sensing: An Estimation Theoretic Approach

Recovery of Compressible Signals in Unions of Subspaces

Support Recovery in Compressed Sensing: An Estimation Theoretic Approach

A Comparison of Techniques for Sampling Web Pages

Distributed Compressed Sensing for Sensor Networks Using Thresholding

A Comprehensive Stochastic Model of Window Usage: Theory and Validation

Interactions with window openings by office occupants