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ICML
2009
IEEE
14 years 9 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
CVPR
2010
IEEE
14 years 5 months ago
Surface Extraction from Binary Volumes with Higher-Order Smoothness
A number of 3D shape reconstruction algorithms, in particular 3D image segmentation methods, produce their results in the form of binary volumes, where a binary value indicates whe...
Victor Lempitsky
WEBI
2004
Springer
14 years 2 months ago
TSSP: A Reinforcement Algorithm to Find Related Papers
Content analysis and citation analysis are two common methods in recommending system. Compared with content analysis, citation analysis can discover more implicitly related papers...
Shen Huang, Gui-Rong Xue, Benyu Zhang, Zheng Chen,...
MCS
2001
Springer
14 years 1 months ago
Finding Consistent Clusters in Data Partitions
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
Ana L. N. Fred
CP
1997
Springer
14 years 1 months ago
Random Constraint Satisfaction: A More Accurate Picture
In the last few years there has been a great amount of interest in Random Constraint Satisfaction Problems, both from an experimental and a theoretical point of view. Quite intrigu...
Dimitris Achlioptas, Lefteris M. Kirousis, Evangel...