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AAAI
2006
15 years 7 months ago
Embedding Heterogeneous Data Using Statistical Models
Embedding algorithms are a method for revealing low dimensional structure in complex data. Most embedding algorithms are designed to handle objects of a single type for which pair...
Amir Globerson, Gal Chechik, Fernando Pereira, Naf...
EGC
2005
Springer
15 years 11 months ago
Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach
Abstract. Grid technology is widely emerging as a solution for wide-spread applicability of computerized analysis and processing procedures in biomedical sciences. In this paper we...
Sebastián Ordas, Hans C. van Assen, Loic Bo...
ACL
2012
13 years 8 months ago
Arabic Retrieval Revisited: Morphological Hole Filling
Due to Arabic’s morphological complexity, Arabic retrieval benefits greatly from morphological analysis – particularly stemming. However, the best known stemming does not hand...
Kareem Darwish, Ahmed Ali
JMM2
2007
221views more  JMM2 2007»
15 years 5 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...
ICICS
2009
Springer
16 years 15 days ago
Assessing Security Risk to a Network Using a Statistical Model of Attacker Community Competence
We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Tomas Olsson