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TMI
2010
155views more  TMI 2010»
14 years 9 months ago
Tubular Surface Segmentation for Extracting Anatomical Structures From Medical Imagery
Abstract--This work provides a model for tubular structures, and devises an algorithm to automatically extract tubular anatomical structures from medical imagery. Our model fits ma...
Vandana Mohan, Ganesh Sundaramoorthi, Allen Tannen...
IJAR
2010
113views more  IJAR 2010»
15 years 1 months ago
A geometric view on learning Bayesian network structures
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...
Milan Studený, Jirí Vomlel, Raymond ...
CVPR
2007
IEEE
16 years 5 months ago
Compositional Boosting for Computing Hierarchical Image Structures
In this paper, we present a compositional boosting algorithm for detecting and recognizing 17 common image structures in low-middle level vision tasks. These structures, called &q...
Tianfu Wu, Gui-Song Xia, Song Chun Zhu
CVPR
1997
IEEE
16 years 5 months ago
Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces
In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is inde...
Rikard Berthilsson, Anders Heyden, Gunnar Sparr
ICML
2009
IEEE
16 years 3 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer