Andrei Sechelea

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We present a system for the acquisition, analysis and visualisation of Twitter data. Twitter messages are harvested and stored in a distributed cluster, and the data is processed using algorithms implemented in a MapReduce framework. We present a clustering algorithm capable of identifying the main topics of interest in a tweet data set. Also, we designed a(More)
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side information, where the correlation is expressed by a generic binary asymmetric channel. Specifically, we present an in-depth analysis of rate distortion with side information available(More)
Summary form only given. Motivated by the correlation channel modeling problem in practical applications, such as distributed video coding, we study the binary source coding of a uniform source with side information, under asymmetric correlation channel assumptions. First, we consider the case where side information is available to both the encoder and(More)
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