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ICPR
2008
IEEE
14 years 11 months ago
Fast and regularized local metric for query-based operations
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
Frank P. Ferrie, Karim T. Abou-Moustafa
ICML
1998
IEEE
14 years 10 months ago
An Efficient Boosting Algorithm for Combining Preferences
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
ICMLA
2009
13 years 7 months ago
Ranking Electrical Feeders of the New York Power Grid
components of a system by susceptibility to failure. In this extended abstract, we present an ongoing project to rank the underground primary feeders of Consolidated Edison Company...
Philip Gross, Ansaf Salleb-Aouissi, Haimonti Dutta...
CEC
2005
IEEE
14 years 3 months ago
Relationships between internal and external metrics in co-evolution
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
Elena Popovici, Kenneth A. De Jong
CVPR
2008
IEEE
15 years 16 hour ago
Face alignment via boosted ranking model
Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is al...
Gianfranco Doretto, Hao Wu, Xiaoming Liu 0002