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MICCAI
2009
Springer
14 years 9 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
CVPR
2001
IEEE
14 years 10 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ECIR
2007
Springer
13 years 10 months ago
Multinomial Randomness Models for Retrieval with Document Fields
Document fields, such as the title or the headings of a document, offer a way to consider the structure of documents for retrieval. Most of the proposed approaches in the literatu...
Vassilis Plachouras, Iadh Ounis
MIA
2010
170views more  MIA 2010»
13 years 3 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
EKAW
2010
Springer
13 years 6 months ago
Temporal Knowledge Acquisition and Modeling
The objectives of this paper are to present, describe, and explain the foundations and the functionalities of a temporal knowledge acquisition and modeling solution workflow, which...
Cyril Faucher, Charles Teissèdre, Jean-Yves...