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» Hierarchical approximation and localization
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MICCAI
2006
Springer
16 years 7 months ago
Anatomical Modelling of the Musculoskeletal System from MRI
Abstract. This paper presents a novel approach for multi-organ (musculoskeletal system) automatic registration and segmentation from clinical MRI datasets, based on discrete deform...
Benjamin Gilles, Laurent Moccozet, Nadia Magnenat-...
RIDE
2002
IEEE
15 years 11 months ago
Enhancive Index for Structured Document
Structured documents, especially the XML documents, are made up of a few logical components, such as title, sections, subsections and paragraphs. The components in each structured...
Xiaoling Wang, Ji-Rong Wen, Yisheng Dong, Wenyin L...
ESANN
2004
15 years 7 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot
CACM
2011
120views more  CACM 2011»
15 years 1 months ago
The sequence memoizer
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Jan Gasthaus, Cédric Archambeau...
AUSAI
2004
Springer
15 years 12 months ago
An ACO Algorithm for the Most Probable Explanation Problem
We describe an Ant Colony Optimization (ACO) algorithm, ANT-MPE, for the most probable explanation problem in Bayesian network inference. After tuning its parameters settings, we c...
Haipeng Guo, Prashanth R. Boddhireddy, William H. ...