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CAEPIA
2003
Springer
14 years 1 months ago
Clustering Main Concepts from e-Mails
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in which every employee spends about 90 minutes a day in ...
Jesús S. Aguilar-Ruiz, Domingo S. Rodr&iacu...
FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
14 years 1 months ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
SIGCSE
2008
ACM
211views Education» more  SIGCSE 2008»
13 years 8 months ago
Cluster computing for web-scale data processing
In this paper we present the design of a modern course in cluster computing and large-scale data processing. The defining differences between this and previously published designs...
Aaron Kimball, Sierra Michels-Slettvet, Christophe...
ICC
2009
IEEE
142views Communications» more  ICC 2009»
14 years 2 months ago
Revealing Social Networks of Spammers Through Spectral Clustering
—To date, most studies on spam have focused only on the spamming phase of the spam cycle and have ignored the harvesting phase, which consists of the mass acquisition of email ad...
Kevin S. Xu, Mark Kliger, Yilun Chen, Peter J. Woo...
LREC
2008
124views Education» more  LREC 2008»
13 years 9 months ago
Clustering Related Terms with Definitions
It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology co...
Scott Songlin Piao, John McNaught, Sophia Ananiado...