The Persuasion Bottleneck

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This paper considers an additive Gaussian noise channel with arbitrarily distributed finite variance input signals. It studies the differential entropy of the minimum mean-square error (MMSE) estimator and provides a new lower bound which connects the diff ...

Designing structures from reused elements is becoming an increasingly important design task for structural engineers as it has potential to significantly reduce adverse environmental impacts of building structures. To allow for a broad application of this ...

In the era of big data, new transportation-related concepts and methodologies need to be proposed for understanding how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment with a swarm of drones over a de ...

Como ações pessoais, aparentemente caóticas, podem gerar os imensos sistemas de interações em que vivemos? Neste artigo, buscamos responder a esta pergunta sugerindo que há um papel para as cidades, na forma de coordenar nossas ações. Investigamos esse pro ...

Next-generation radio-interferometers face a computing challenge with respect to the imaging techniques that can be applied in the big data setting in which they are designed. Dimensionality reduction can thus provide essential savings of computing resourc ...

This paper presents the rotor design optimization for a reaction sphere (RS) actuator. The RS is a permanent-magnet synchronous spherical actuator whose rotor is magnetically levitated and can be accelerated about any desired axis. The RS is composed of an ...

When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) inf ...

The issue of how to efficiently represent the data collected by a network of microphones recording spatio-temporal acoustic wave fields is addressed. Each sensor node in the network samples the sound field, quantizes the samples and transmits the encoded s ...

We consider the problem of search through comparisons, where a user is presented with two candidate objects and reveals which is closer to her intended target. We study adaptive strategies for finding the target, that require knowledge of rank relationship ...

Technological advances in sensing and portable computing devices and wireless communication has lead to an increase in the number and variety of sensing enabled devices (e.g. smartphones or sensing garments). Pervasive computing and activity recognition sy ...

We propose new soft-prior approach for incorporating structural a priori in FDOT reconstruction. The technique is a non-linear regularization scheme based on the penalization of the (2, 1)-mixed norm. We solve the numerical reconstruction problem with an i ...

The Persuasion Bottleneck

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Differential Entropy of the Conditional Expectation under Gaussian Noise

Computational tool for stock-constrained design of structures

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

Cidade e interação: o papel do espaço urbano na organização social [City and interaction: the role of space in social organization]

Fourier dimensionality reduction of radio-interferometric data

Rotor Design Optimization for a Reaction Sphere Actuator

Data compression to define information content of hydrological time series

On Sampling and Coding for Distributed Acoustic Sensing

Comparison-Based Learning with Rank Nets

Ensemble creation and reconfiguration for activity recognition: An information theoretic approach

A Priori Guided Reconstruction For Fdot Using Mixed Norms

Active Contours and Information Theory for Supervised Segmentation on Scalar Images