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GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 4 months ago
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms
There are several studies on the desirable properties that a performance measure for evolutionary multiobjective algorithms must have. One of these properties is called “compati...
Giovanni Lizárraga Lizárraga, Arturo...
CVPR
2006
IEEE
16 years 5 months ago
An Intensity-augmented Ordinal Measure for Visual Correspondence
Determining the correspondence of image patches is one of the most important problems in Computer Vision. When the intensity space is variant due to several factors such as the ca...
Anurag Mittal, Visvanathan Ramesh
JOI
2007
99views more  JOI 2007»
15 years 2 months ago
Measuring quality of similarity functions in approximate data matching
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
ACCV
1998
Springer
15 years 7 months ago
Digital Geometric Methods in Image Analysis and Compression
One of the important problems related to image analysis and compression is finding repeated structure. Although the focus of this paper is developing digital geometric models and m...
Ari D. Gross, Longin Jan Latecki
CEC
2007
IEEE
15 years 9 months ago
On performance metrics and particle swarm methods for dynamic multiobjective optimization problems
— This paper describes two performance measures for measuring an EMO (Evolutionary Multiobjective Optimization) algorithm’s ability to track a time-varying Paretofront in a dyn...
Xiaodong Li, Jürgen Branke, Michael Kirley