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JMLR
2010
104views more  JMLR 2010»
13 years 2 months ago
How to Explain Individual Classification Decisions
After building a classifier with modern tools of machine learning we typically have a black box at hand that is able to predict well for unseen data. Thus, we get an answer to the...
David Baehrens, Timon Schroeter, Stefan Harmeling,...
PAMI
2006
156views more  PAMI 2006»
13 years 7 months ago
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures
In previous work on point matching, a set of points is often treated as an instance of a joint distribution to exploit global relationships in the point set. For nonrigid shapes, h...
Yefeng Zheng, David S. Doermann
DAGM
2005
Springer
14 years 1 months ago
Cluster-Based Point Cloud Analysis for Rapid Scene Interpretation
A histogram-based method for the interpretation of three-dimensional (3D) point clouds is introduced, where point clouds represent the surface of a scene of multiple objects and ba...
Eric Wahl, Gerd Hirzinger
ICMLA
2007
13 years 9 months ago
Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...
Rómer Rosales, Praveen Krishnamurthy, R. Bh...
ICCV
2005
IEEE
14 years 1 months ago
Robust Point Matching for Two-Dimensional Nonrigid Shapes
Recently, nonrigid shape matching has received more and more attention. For nonrigid shapes, most neighboring points cannot move independently under deformation due to physical co...
Yefeng Zheng, David S. Doermann