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» A Probability Model for Image Annotation
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121
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NIPS
2003
15 years 3 months ago
A Computational Geometric Approach to Shape Analysis in Images
We present a geometric approach to statistical shape analysis of closed curves in images. The basic idea is to specify a space of closed curves satisfying given constraints, and e...
Anuj Srivastava, Xiuwen Liu, Washington Mio, Eric ...
116
Voted
BMCBI
2007
181views more  BMCBI 2007»
15 years 1 months ago
Versatile annotation and publication quality visualization of protein complexes using POLYVIEW-3D
Background: Macromolecular visualization as well as automated structural and functional annotation tools play an increasingly important role in the post-genomic era, contributing ...
Aleksey A. Porollo, Jaroslaw Meller
105
Voted
CLEF
2010
Springer
15 years 3 months ago
UPMC/LIP6 at ImageCLEFannotation 2010
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usuni...
173
Voted
ICIP
2001
IEEE
16 years 3 months ago
EM algorithms of Gaussian mixture model and hidden Markov model
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
Guorong Xuan, Wei Zhang, Peiqi Chai
ICCV
2009
IEEE
14 years 11 months ago
Component analysis approach to estimation of tissue intensity distributions of 3D images
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...
Arridhana Ciptadi, Cheng Chen, Vitali Zagorodnov