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CIKM
2006
Springer
14 years 29 days ago
Optimisation methods for ranking functions with multiple parameters
Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances ...
Michael J. Taylor, Hugo Zaragoza, Nick Craswell, S...
CVPR
2008
IEEE
13 years 11 months ago
Improving local learning for object categorization by exploring the effects of ranking
Local learning for classification is useful in dealing with various vision problems. One key factor for such approaches to be effective is to find good neighbors for the learning ...
Tien-Lung Chang, Tyng-Luh Liu, Jen-Hui Chuang
ICCV
2007
IEEE
14 years 11 months ago
A Rank Minimization Approach to Video Inpainting
This paper addresses the problem of video inpainting, that is seamlessly reconstructing missing portions in a set of video frames. We propose to solve this problem proceeding as f...
Tao Ding, Mario Sznaier, Octavia I. Camps
ACIVS
2008
Springer
14 years 3 months ago
"Local Rank Differences" Image Feature Implemented on GPU
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...
Lukás Polok, Adam Herout, Pavel Zemcí...
CEC
2007
IEEE
14 years 1 months ago
Ranking-Dominance and Many-Objective Optimization
An alternative relation to Pareto-dominance is studied. The relation is based on ranking a set of solutions according to each separate objective and an aggregation function to calc...
Saku Kukkonen, Jouni Lampinen