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» A Probability Model for Image Annotation
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MICCAI
2007
Springer
16 years 3 months ago
Signal LMMSE Estimation from Multiple Samples in MRI and DT-MRI
A method to estimate the magnitude MR data from several noisy samples is presented. It is based on the Linear Minimum Mean Squared Error (LMMSE) estimator for the Rician noise mode...
Carl-Fredrik Westin, Carlos Alberola-López,...
TMI
2010
151views more  TMI 2010»
14 years 9 months ago
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns
Abstract--We aim at improving quantitative measures of emphysema in computed tomography (CT) images of the lungs. Current standard measures, such as the relative area of emphysema ...
Lauge Sørensen, Saher B. Shaker, Marleen de...
144
Voted
CRV
2005
IEEE
132views Robotics» more  CRV 2005»
15 years 8 months ago
Face Recognition with Weighted Locally Linear Embedding
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
Nathan Mekuz, Christian Bauckhage, John K. Tsotsos
LREC
2008
131views Education» more  LREC 2008»
15 years 4 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
ICIP
2007
IEEE
16 years 4 months ago
Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs
This paper describes a method for articulated upper body tracking in monocular scenes. The compatibility between model and the image is estimated using one particle filter for eac...
Philippe Noriega, Olivier Bernier