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3DPH
2009
190views Healthcare» more  3DPH 2009»
13 years 9 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 ...
JMLR
2008
209views more  JMLR 2008»
13 years 8 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
JMLR
2010
202views more  JMLR 2010»
13 years 3 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...
TIP
2010
255views more  TIP 2010»
13 years 3 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
CVPR
2007
IEEE
14 years 10 months ago
Saliency Detection: A Spectral Residual Approach
The ability of human visual system to detect visual saliency is extraordinarily fast and reliable. However, computational modeling of this basic intelligent behavior still remains...
Xiaodi Hou, Liqing Zhang