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» Directly optimizing evaluation measures in learning to rank
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WWW
2009
ACM
15 years 10 months 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
15 years 11 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
67
Voted
CVPR
2008
IEEE
14 years 11 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 9 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 2 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