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CBMS
2011
IEEE
14 years 4 months ago
Sharing object models for multi-modality medical image simulation: A semantic approach
Medical image simulation produces virtual images from software representations of imaging devices and virtual object models representing the human body. Object models consist of t...
Germain Forestier, Adrien Marion, Hugues Benoit-Ca...
TMM
2002
104views more  TMM 2002»
15 years 4 months ago
Spatial contextual classification and prediction models for mining geospatial data
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
STTT
2010
122views more  STTT 2010»
15 years 2 months ago
Rodin: an open toolset for modelling and reasoning in Event-B
Event-B is a formal method for system-level modelling and analysis. Key features of Event-B are the use of set theory as a modelling notation, the use of ent to represent systems a...
Jean-Raymond Abrial, Michael J. Butler, Stefan Hal...
ICASSP
2011
IEEE
14 years 8 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
IDA
2002
Springer
15 years 4 months ago
A framework for modelling virus gene expression data
Short, high-dimensional, Multivariate Time Series (MTS) data are common in many fields such as medicine, finance and science, and any advance in modelling this kind of data would b...
Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christi...