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» A Variational Approach to Learning Curves
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EMMCVPR
2005
Springer
14 years 2 months ago
A New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images
Abstract. We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two known curves (the constr...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
JMIV
2006
166views more  JMIV 2006»
13 years 8 months ago
Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths
We introduce a novel implicit approach for single object segmentation in 3D images. The boundary surface of this object is assumed to contain two or more known curves (the constrai...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
COLT
2007
Springer
14 years 12 days ago
Robust Reductions from Ranking to Classification
Abstract. We reduce ranking, as measured by the Area Under the Receiver Operating Characteristic Curve (AUC), to binary classification. The core theorem shows that a binary classif...
Maria-Florina Balcan, Nikhil Bansal, Alina Beygelz...
DICTA
2003
13 years 9 months ago
A Model Set Based Object Segmentation Method Using Level Set Approach
Abstract. A novel approach for model set based object segmentation is described. The proposed method enables the using of a model set to guide the object segmentation. The object s...
Xun Wang, Zhigang Peng, Feng Gao, William G. Wee
UAI
2000
13 years 9 months ago
Variational Relevance Vector Machines
The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
Christopher M. Bishop, Michael E. Tipping