4 search results - page 1 / 1 » Optimum Subspace Learning and Error Correction for Tensors |
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
PAMI
2011
12 years 12 months ago
2011
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
FLAIRS
2004
13 years 6 months ago
2004
In multimodal function optimization, niching techniques create diversification within the population, thus encouraging heterogeneous convergence. The key to the effective diversif...