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SIAMJO
2008
79views more  SIAMJO 2008»
13 years 7 months ago
A Class of Inexact Variable Metric Proximal Point Algorithms
For the problem of solving maximal monotone inclusions, we present a rather general class of algorithms, which contains hybrid inexact proximal point methods as a special case and ...
Lisandro A. Parente, Pablo A. Lotito, Mikhail V. S...
GEM
2007
13 years 9 months ago
Initial Population for Genetic Algorithms: A Metric Approach
- Besides the difficulty of the application problem to be solved with Genetic Algorithms (GAs), an additional difficulty arises because the quality of the solution found, or the ...
Pedro A. Diaz-Gomez, Dean F. Hougen
ICPR
2002
IEEE
14 years 21 days ago
A New Mesh Simplification Algorithm Combining Half-Edge Data Structure with Modified Quadric Error Metric
This paper presents a fast mesh simplification algorithm that combined the half-edge data structure with modified quadric error metric (QEM). When half-edge structure is used, the...
Guangming Li, Jie Tian, Mingchang Zhao, Huiguang H...
CVPR
2010
IEEE
14 years 3 months ago
Globally Optimal Pixel Labeling Algorithms for Tree Metrics
We consider pixel labeling problems where the label set forms a tree, and where the observations are also labels. Such problems arise in feature-space analysis with a very large...
Pedro Felzenszwalb, Gyula Pap, Eva Tardos, Ramin Z...
AUSAI
2004
Springer
14 years 1 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb