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» Probabilistic author-topic models for information discovery
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EMNLP
2006
13 years 9 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
TMM
2010
194views Management» more  TMM 2010»
13 years 2 months ago
Modeling Flickr Communities Through Probabilistic Topic-Based Analysis
Abstract--With the increased presence of digital imaging devices, there also came an explosion in the amount of multimedia content available online. Users have transformed from pas...
Radu Andrei Negoescu, Daniel Gatica-Perez
MM
2009
ACM
195views Multimedia» more  MM 2009»
14 years 2 months ago
Flickr hypergroups
The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often s...
Radu Andrei Negoescu, Brett Adams, Dinh Q. Phung, ...
HT
2010
ACM
14 years 19 days ago
Community-based ranking of the social web
The rise of social interactions on the Web requires developing new methods of information organization and discovery. To that end, we propose a generative community-based probabil...
Said Kashoob, James Caverlee, Krishna Kamath
ADHOC
2008
95views more  ADHOC 2008»
13 years 7 months ago
The polarized gossip protocol for path discovery in MANETs
In this paper we present a novel probabilistic protocol for path discovery in Mobile Ad Hoc Networks (MANETs). The protocol implements what we call a polarized gossiping algorithm...
Roberto Beraldi