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IEICET
2010
96views more  IEICET 2010»
13 years 5 months ago
An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA
—To recover texture images from impulse noise by the opening operation which is one of morphological operations, an suitable structuring element (SE) has to be estimated. Hithert...
Hiroyuki Okuno, Yoshiko Hanada, Mitsuji Muneyasu, ...
GECCO
2003
Springer
123views Optimization» more  GECCO 2003»
14 years 17 days ago
Benefits of Implicit Redundant Genetic Algorithms for Structural Damage Detection in Noisy Environments
A robust structural damage detection method that can handle noisy frequency response function information is discussed. The inherent unstructured nature of damage detection problem...
Anne M. Raich, Tamás Liszkai
CVPR
2007
IEEE
14 years 9 months ago
Element Rearrangement for Tensor-Based Subspace Learning
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
Shuicheng Yan, Dong Xu, Stephen Lin, Thomas S. Hua...