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» Efficient Inference in Persistent Dynamic Bayesian Networks
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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 8 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
ICDM
2006
IEEE
102views Data Mining» more  ICDM 2006»
14 years 1 months ago
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks
Interpersonal interaction plays an important role in organizational dynamics, and understanding these interaction networks is a key issue for any organization, since these can be ...
Nishith Pathak, Sandeep Mane, Jaideep Srivastava
ICML
2005
IEEE
14 years 8 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
AAAI
2008
13 years 9 months ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
CVPR
2007
IEEE
14 years 9 months ago
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
Benjamin Laxton, Jongwoo Lim, David J. Kriegman