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Exponential Collapse Of Social Beliefs Over Weakly-Connected Heterogeneous Networks

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Identifying patterns in kinetic parameters that determine the impact of rate-limiting enzymes

Vassily Hatzimanikatis, Ljubisa Miskovic, Michaël Roger Germain Moret

Kinetic models are essential for studying complex behavior and properties of metabolism. However, a persistent hurdle for constructing these models is uncertainty in the kinetic properties of enzymes. Currently available methods for building kinetic models ...

2016

Structure Modeling of High Dimensional Data

Mahdad Hosseini Kamal

The digitization of our most common appliances has led to a literal data deluge, some- times referred to as Big Data. The ever increasing volume of data we generate, coupled with our desire to exploit it ever faster, forces us to come up with innovative da ...

EPFL2015

COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography

Jean-Philippe Thiran, Alessandro Daducci, Alia Lemkaddem

Tractography is a class of algorithms aiming at in vivo mapping the major neuronal pathways in the white matter from diffusion MRI data. These techniques offer a powerful tool to noninvasively investigate at the macroscopic scale the architecture of the ne ...

Institute of Electrical and Electronics Engineers2015

Random Access With Physical-Layer Network Coding

Michael Christoph Gastpar, Jasper Goseling

We consider a physical-layer network coding strategy for the random-access channel, based on compute-and-forward. When packets collide, it is possible to reliably recover a linear combination of the packets at the receiver. Over many rounds of transmission ...

Institute of Electrical and Electronics Engineers2015

System and method for cooperative data streaming

Christina Fragouli, Lorenzo Keller

A system and method for cooperative data streaming are disclosed. According to one embodiment, a system for cooperative data streaming comprises a group of devices comprising at least two devices, which are interested in obtaining the same content from the ...

2015

Adaptation, Learning, and Optimization over Networks

Ali H. Sayed

This work deals with the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis and design of multi-agent networks for the distributed solution of optimization, adaptation, and ...

NOW Publishers2014

Synthesizing Social Proximity Networks by Combining Subjective Surveys with Digital Traces

Marcel Salathé

Synthetic social contact networks play a central role in the study of epidemics and methods to control them. In this paper we propose a new methodology that combines subjective surveys and data obtained using digital devices to synthesize detailed social n ...

IEEE2013

Performance Bounds for Sensor Data Gathering by Coding in Finite Fields

Pascal Frossard, Tamara Tosic

We address the problem of data gathering in adhoc networks. We propose a novel framework where sensor signals are quantized and mapped to a finite field. The network nodes then combine the data from different sensors to form messages that are transmitted t ...

2013

Random Access with Physical-layer Network Coding

Michael Christoph Gastpar, Jasper Goseling

Browse Conference Publications > Information Theory and Applic ... Back to Results | Next » Help Random access with physical-layer network coding This paper appears in: Information Theory and Applications Workshop (ITA), 2013 Date of Conference: 10-15 Feb. ...

2013

Look up!: Your Future is in the Cloud

James Richard Larus

The "Cloud" is a wonderfully expansive phrase used to denote computation and data storage centralized in a large datacenter and elastically accessed across a network. The concept is not new; web sites and business servers have run in datacenters for a long ...

ACM2013