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Eigenfaces for Recognition
We have developed a near-real-time computer system that can locate and track a subject's head, and then recognize the person by comparing characteristics of the face to those of known individuals.Expand
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Inferring friendship network structure by using mobile phone data
Data collected from mobile phones have the potential to provide insight into the relational dynamics of individuals. This paper compares observational data from mobile phones with standardExpand
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Eigenbehaviors: identifying structure in routine
Longitudinal behavioral data generally contains a significant amount of structure. In this work, we identify the structure inherent in daily behavior with models that can accurately analyze, predict,Expand
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Eigenbehaviors: identifying structure in routine
Longitudinal behavioral data generally contains a significant amount of structure. In this work, we identify the structure inherent in daily behavior with models that can accurately analyze, predict,Expand
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The new science of building great teams
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Eigenbehaviors: identifying structure in routine
Longitudinal behavioral data generally contains a significant amount of structure. In this work, we identify the structure inherent in daily behavior with models that can accurately analyze, predict,Expand
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CRAWDAD dataset mit/reality (v.2005-07-01)
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A multi-source dataset of urban life in the city of Milan and the Province of Trentino
The study of socio-technical systems has been revolutionized by the unprecedented amount of digital records that are constantly being produced by human activities such as accessing Internet services,Expand
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Wearable feedback systems for rehabilitation
In this paper we describe LiveNet, a flexible wearable platform intended for long-term ambulatory health monitoring with real-time data streaming and context classification. Based on the MIT WearableExpand
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openPDS: Protecting the Privacy of Metadata through SafeAnswers
The rise of smartphones and web services made possible the large-scale collection of personal metadata. Information about individuals' location, phone call logs, or web-searches, is collected andExpand
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