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» Relational learning via latent social dimensions
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JOI
2010
130views more  JOI 2010»
13 years 3 months ago
Diffusion of latent semantic analysis as a research tool: A social network analysis approach
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
Yasar Tonta, Hamid R. Darvish
ECCV
2010
Springer
13 years 10 months ago
Learning Relations Among Movie Characters: A Social Network Perspective
If you have ever watched movies or television shows, you know how easy it is to tell the good characters from the bad ones. Little, however, is known “whether” or “how” com...
ICMCS
2009
IEEE
185views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Connecting content to community in social media via image content, user tags and user communication
In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful...
Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Aji...
NIPS
2004
13 years 6 months ago
Multiple Relational Embedding
We describe a way of using multiple different types of similarity relationship to learn a low-dimensional embedding of a dataset. Our method chooses different, possibly overlappin...
Roland Memisevic, Geoffrey E. Hinton
ACL
2012
11 years 8 months ago
Exploiting Social Information in Grounded Language Learning via Grammatical Reduction
This paper uses an unsupervised model of grounded language acquisition to study the role that social cues play in language acquisition. The input to the model consists of (orthogr...
Mark Johnson, Katherine Demuth, Michael C. Frank