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» Structural Learning of Activities from Sparse Datasets
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JAISE
2010
182views Algorithms» more  JAISE 2010»
13 years 3 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson
ISBI
2007
IEEE
14 years 3 months ago
An Iterative Method for Registration of High-Resolution Cardiac Histoanatomical and Mri Images
Cardiac computational models of electrical conduction, mechanical activation, hemodynamics and metabolism require detailed information about the structural arrangement of function...
Tahier Mansoori, Gernot Plank, Rebecca Burton, J&u...
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
13 years 6 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero
RECSYS
2009
ACM
14 years 3 months ago
Learning to recommend with trust and distrust relationships
With the exponential growth of Web contents, Recommender System has become indispensable for discovering new information that might interest Web users. Despite their success in th...
Hao Ma, Michael R. Lyu, Irwin King
ECML
2006
Springer
14 years 14 days ago
Efficient Prediction-Based Validation for Document Clustering
Recently, stability-based techniques have emerged as a very promising solution to the problem of cluster validation. An inherent drawback of these approaches is the computational c...
Derek Greene, Padraig Cunningham