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» Structured metric learning for high dimensional problems
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KBSE
2008
IEEE
15 years 4 months ago
Predicting Effectiveness of Automatic Testing Tools
—Automatic white-box test generation is a challenging problem. Many existing tools rely on complex code analyses and heuristics. As a result, structural features of an input prog...
Brett Daniel, Marat Boshernitsan
CVPR
2008
IEEE
15 years 11 months ago
Structure learning in random fields for heart motion abnormality detection
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
Glenn Fung, Kevin Murphy, Mark Schmidt, Róm...
SIAMIS
2011
14 years 4 months ago
A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering
We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
Ganesh Sundaramoorthi, Andrea Mennucci, Stefano So...
BIBE
2006
IEEE
154views Bioinformatics» more  BIBE 2006»
15 years 3 months ago
Determining Molecular Similarity for Drug Discovery using the Wavelet Riemannian Metric
Discerning the similarity between two molecules is a challenging problem in drug discovery as well as in molecular biology. The importance of this problem is due to the fact that ...
Elinor Velasquez, Emmanuel R. Yera, Rahul Singh
ICCV
2007
IEEE
15 years 11 months ago
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...
Manmohan Krishna Chandraker, Sameer Agarwal, David...