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» Objective reduction using a feature selection technique
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CVPR
2003
IEEE
14 years 11 months ago
3D Model Retrieval With Morphing-Based Geometric and Topological Feature Maps
Recent advancement in 3D digitization techniques have prompted to the need for 3D object retrieval. Our method of comparing 3D objects for retrieval is based on 3D morphing. It co...
Meng Yu, Indriyati Atmosukarto, Wee Kheng Leow, Zh...
ISQED
2007
IEEE
151views Hardware» more  ISQED 2007»
14 years 3 months ago
Wavelet-Based Passivity Preserving Model Order Reduction for Wideband Interconnect Characterization
Model order reduction plays a key role in determining VLSI system performance and the optimization of interconnects. In this paper, we develop an accurate and provably passive met...
Mehboob Alam, Arthur Nieuwoudt, Yehia Massoud
PAMI
2011
13 years 4 months ago
Multiple Kernel Learning for Dimensionality Reduction
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
Yen-Yu Lin, Tyng-Luh Liu, Chiou-Shann Fuh
CVPR
2006
IEEE
14 years 11 months ago
Using Stationary-Dynamic Camera Assemblies for Wide-area Video Surveillance and Selective Attention
In this paper, we present a prototype video surveillance system that uses stationary-dynamic (or master-slave) camera assemblies to achieve wide-area surveillance and selective fo...
Ankur Jain, Dan Kopell, Kyle Kakligian, Yuan-Fang ...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
14 years 3 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles