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EOR
2010
116views more  EOR 2010»
15 years 4 months ago
Speeding up continuous GRASP
Continuous GRASP (C-GRASP) is a stochastic local search metaheuristic for finding cost-efficient solutions to continuous global optimization problems subject to box constraints (Hi...
Michael J. Hirsch, Panos M. Pardalos, Mauricio G. ...
CVPR
2011
IEEE
15 years 2 days ago
Adapting an Object Detector by Considering the Worst Case: a Conservative Approach
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
Guang Chen, TonyX. Han
140
Voted
ECCV
2008
Springer
16 years 5 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof
140
Voted
CHI
2007
ACM
16 years 4 months ago
A predictive model of menu performance
Menus are a primary control in current interfaces, but there has been relatively little theoretical work to model their performance. We propose a model of menu performance that go...
Andy Cockburn, Carl Gutwin, Saul Greenberg
131
Voted
ICWS
2009
IEEE
16 years 1 months ago
What are the Problem Makers: Ranking Activities According to their Relevance for Process Changes
Recently, a new generation of adaptive process management technology has emerged, which enables dynamic changes of composite services and process models respectively. This, in tur...
Chen Li, Manfred Reichert, Andreas Wombacher