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ML
2006
ACM
110views Machine Learning» more  ML 2006»
15 years 6 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
SPIRE
2010
Springer
15 years 4 months ago
Why Large Closest String Instances Are Easy to Solve in Practice
We initiate the study of the smoothed complexity of the Closest String problem by proposing a semi-random model of Hamming distance. We restrict interest to the optimization versio...
Christina Boucher, Kathleen Wilkie
257
Voted
CISS
2011
IEEE
14 years 10 months ago
Noncoherent compressive sensing with application to distributed radar
—We consider a multi-static radar scenario with spatially dislocated receivers that can individually extract delay information only. Furthermore, we assume that the receivers are...
Christian R. Berger, Josee M. F. Moura
CVPR
2004
IEEE
16 years 8 months ago
Collaborative Tracking of Multiple Targets
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
Ting Yu, Ying Wu
GPCE
2009
Springer
15 years 9 months ago
Mapping problem-space to solution-space features: a feature interaction approach
Mapping problem-space features into solution-space features is a fundamental configuration problem in software product line engineering. A configuration problem is defined as g...
Frans Sanen, Eddy Truyen, Wouter Joosen