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» Universal Analytical Forms for Modeling Image Probabilities
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CIVR
2004
Springer
117views Image Analysis» more  CIVR 2004»
14 years 23 days ago
Using Maximum Entropy for Automatic Image Annotation
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...
Jiwoon Jeon, R. Manmatha
ICCV
1998
IEEE
14 years 9 months ago
Parameterized Modeling and Recognition of Activities
A framework for modeling and recognition of temporal activities is proposed. The modeling of sets of exemplar activities is achieved by parameterizing their representation in the ...
Yaser Yacoob, Michael J. Black
ISBI
2007
IEEE
14 years 1 months ago
A Continuous Mixture of Tensors Model for Diffusion-Weighted Mr Signal Reconstruction
Diffusion MRI is a non-invasive imaging technique that allows the measurement of water molecular diffusion through tissue in vivo. In this paper, we present a novel statistical mo...
Bing Jian, Baba C. Vemuri, Evren Özarslan, Pa...
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
14 years 9 days ago
Images Interpolation for Image-Based Control under Large Displacement
The principal deficiency of image-based visual servoing is that the induced (3D) trajectories are not optimal and sometimes, especially when the displacement to realize is large,...
Youcef Mezouar, Anthony Remazeilles, Patrick Gros,...
MICCAI
2007
Springer
14 years 8 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,...