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203views
13 years 11 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
IJCAI
2007
14 years 18 days ago
Automated Heart Wall Motion Abnormality Detection from Ultrasound Images Using Bayesian Networks
Coronary Heart Disease can be diagnosed by measuring and scoring regional motion of the heart wall in ultrasound images of the left ventricle (LV) of the heart. We describe a comp...
Maleeha Qazi, Glenn Fung, Sriram Krishnan, R&oacut...
OPODIS
2007
14 years 18 days ago
ASAP: A Camera Sensor Network for Situation Awareness
Situation awareness is an important application category in cyber-physical systems, and distributed video-based surveillance is a good canonical example of this application class. ...
JunSuk Shin, Rajnish Kumar, Dushmanta Mohapatra, U...
COLING
2000
14 years 16 days ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
ECWEB
2010
Springer
163views ECommerce» more  ECWEB 2010»
14 years 8 days ago
Social Networks as Data Source for Recommendation Systems
Abstract. Reviews and review based rankings are widely used in recommendation systems to provide potential customers quality information about selected products. During the last ye...
Mathias Bank, Juergen Franke