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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 2 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
BMVC
2000
14 years 11 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
GECCO
2000
Springer
153views Optimization» more  GECCO 2000»
15 years 1 months ago
Applying Genetic Algorithms to Multi-Objective Land Use Planning
This paper explores the application of multiobjective Genetic Algorithms (mGAs) to rural land use planning, a spatial allocation problem. Two mGAs are proposed. Both share an unde...
Keith B. Matthews, Susan Craw, Stewart Elder, Alan...
APVIS
2003
14 years 11 months ago
Direct Interaction with Large-Scale Display Systems using Infrared Laser tracking Devices
Existing large scale display systems generally adopt an indirect approach to user interaction. This is due to the use of standard desktop-oriented devices, such as a mouse on a de...
Kelvin Cheng, Kevin Pulo
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
14 years 10 months ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello