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PG
2000
IEEE
13 years 11 months ago
Progressive Geometry Compression for Meshes
A novel progressive geometry compression scheme is presented in the paper. In this scheme a mesh is represented as a base mesh followed by some groups of vertex split operations us...
Xinguo Liu, Hujun Bao, Qunsheng Peng, Pheng-Ann He...
GECCO
2003
Springer
126views Optimization» more  GECCO 2003»
14 years 19 days ago
Coevolution and Linear Genetic Programming for Visual Learning
In this paper, a novel genetically-inspired visual learning method is proposed. Given the training images, this general approach induces a sophisticated feature-based recognition s...
Krzysztof Krawiec, Bir Bhanu
IEEEHPCS
2010
13 years 2 months ago
Calculating the impact factor of neural networks on optimization algorithm for sensor selection
Intelligent sensor selection for monitoring operations is one of the serious subjects to reduce information processing time and increase information fusion accuracy. This paper at...
Abdolhossein Alipoor, Touraj Banirostam, Mehdi N. ...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
14 years 2 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
WOSP
2010
ACM
13 years 7 months ago
Automatically improve software architecture models for performance, reliability, and cost using evolutionary algorithms
Quantitative prediction of quality properties (i.e. extrafunctional properties such as performance, reliability, and cost) of software architectures during design supports a syste...
Anne Martens, Heiko Koziolek, Steffen Becker, Ralf...