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» A Probability Model for Image Annotation
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JMLR
2010
202views more  JMLR 2010»
14 years 8 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
PAMI
2012
13 years 4 months ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
ACCV
2007
Springer
15 years 8 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
3DPH
2009
190views Healthcare» more  3DPH 2009»
15 years 3 months ago
Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling
We present a nearly automatic graph-based segmentation method for patient specific modeling of the aortic arch and carotid arteries from CTA scans for interventional radiology simu...
Moti Freiman, Noah Broide, Miriam Natanzon, Einav ...
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ISBI
2007
IEEE
15 years 8 months ago
Automatic Segmentation of Coronary Arteries Using Bayesian Driven Implicit Surfaces
In this paper, we propose a hybrid approach for the automatic three-dimensional segmentation of coronary arteries using multi-scale vessel filtering and a Bayesian probabilistic ...
Yan Yang, Allen Tannenbaum, Don P. Giddens, Arthur...