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GECCO
2008
Springer
186views Optimization» more  GECCO 2008»
13 years 8 months ago
A pareto following variation operator for fast-converging multiobjective evolutionary algorithms
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder, Michael Kirley, Ra...
CVPR
1997
IEEE
14 years 9 months ago
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have produced them. When model databases are large, the use...
Jeffrey S. Beis, David G. Lowe
IJCV
2011
264views more  IJCV 2011»
13 years 2 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
CHI
2006
ACM
14 years 8 months ago
Tableau machine: an alien presence in the home
Research in Ambient Intelligence and Ubiquitous Computing has put computational devices into many social settings while leaving intact much of the "task support and informati...
Mario Romero, Zachary Pousman, Michael Mateas
PG
2000
IEEE
14 years 1 days ago
Simulation of FLIR and LADAR Data Using Graphics Animation Software
This paper presents an implementation of Forward Looking Infrared (FLIR) and Laser Radar (LADAR) data simulation for use in developing a multi-sensor datafusion automated target r...
Gavin Powell, Ralph R. Martin, A. David Marshall, ...