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Impact of Sample Sizes on Information Theoretic Measures for Audio-Visual Signal Processing

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Interactive Design of Probability Density Functions for Shape Grammars

Mark Pauly, Duygu Ceylan, Boris Neubert, Stefan Lienhard

A shape grammar defines a procedural shape space containing a variety of models of the same class, e.g. buildings, trees, furniture, airplanes, bikes, etc. We present a framework that enables a user to interactively design a probability density function (p ...

Assoc Computing Machinery2015

Opportunistic Sampling for Joint Population Size and Density Estimation

Martin Vetterli, Patrick Thiran, Olivier Dousse, Farid Movahedi Naini

Consider a set of probes, called “agents”, who sample, based on opportunistic contacts, a population moving between a set of discrete locations. An example of such agents are Bluetooth probes that sample the visible Bluetooth devices in a population. Based ...

2015

Pliable Index Coding

Christina Fragouli, Siddhartha Brahma

We formulate a new variant of the index coding problem, where instead of demanding a specific message, clients are pliable, and are interested in receiving any t messages that they do not have. We term this problem pliable index coding or PICOD(t). We prov ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Compressed Sensing of Memoryless Sources

Saeid Haghighatshoar

Compressed sensing is a new trend in signal processing for efficient sampling and signal acquisition. The idea is that most real-world signals have a sparse representation in an appropriate basis and this can be exploited to capture the sparse signal by ta ...

EPFL2014

Spectral Density Ratio Models for Multivariate Extremes

Anthony Christopher Davison

The modeling of multivariate extremes has received increasing recent attention because of its importance in risk assessment. In classical statistics of extremes, the joint distribution of two or more extremes has a nonparametric form, subject to moment con ...

American Statistical Association2014

Bed load transport over a broad range of timescales: Determination of three regimes of fluctuations

Christophe Ancey, Joris Heyman, François Mettra, Hongbo Ma

This paper describes the relationship between the statistics of bed load transport flux and the timescale over which it is sampled. A stochastic formulation is developed for the probability distribution function of bed load transport flux, based on the Anc ...

Wiley-Blackwell2014

Outlier removal for improved source estimation in atmospheric inverse problems

Martin Vetterli, Marta Martinez-Camara

Estimation of the quantities of harmful substances emitted into the atmosphere is one of the main challenges in modern environmen- tal sciences. In most of the cases, this estimation requires solving a linear inverse problem. A key difficulty in evaluating ...

Ieee2014

Heavy-tail Phenomena: Spatio-temporal Extremal Dependence

Thomas Lugrin

Heavy-tail phenomena are common in real-life data; the finance and insurance industries, telecommunications, and environment-related events offer typical examples of such phenomena. We focus on the particular topic of the extremogram, for which Davis and M ...

2014

CAMEA: Guide Report

This document describes the best current candidate for a CAMEA guide made by the optimizer guide bot. The guide bot tool generates the McStas instrument and iFit files necessary for guide optimization, making it easy to investigate a large number of possib ...

2014

Sliced inverse regression for survival data

Stephan Morgenthaler, Maya Shevlyakova

We apply the univariate sliced inverse regression to survival data. Our approach is different from the other papers on this subject. The right-censored observations are taken into account during the slicing of the survival times by assigning each of them w ...

Springer Verlag2014