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» Directly optimizing evaluation measures in learning to rank
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WWW
2009
ACM
16 years 14 days ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...
ICCV
1998
IEEE
16 years 1 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender
CVPR
2008
IEEE
15 years 1 months ago
A rank constrained continuous formulation of multi-frame multi-target tracking problem
This paper presents a multi-frame data association algorithm for tracking multiple targets in video sequences. Multi-frame data association involves finding the most probable corr...
Khurram Shafique, Mun Wai Lee, Niels Haering
CORR
2007
Springer
57views Education» more  CORR 2007»
14 years 11 months ago
On Evaluating the Rate-Distortion Function of Sources with Feed-Forward and the Capacity of Channels with Feedback
— In this work, we study the problem of evaluating the performance limit of two communication problems that are closely related to each other- source coding with feed-forward and...
Ramji Venkataramanan, S. Sandeep Pradhan
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
15 years 5 months ago
Learning the Ideal Evaluation Function
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
Edwin D. de Jong, Jordan B. Pollack