106 search results - page 14 / 22 » Complexity Measures of Supervised Classification Problems |
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
BMCBI
2010
13 years 10 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is qui...
CVPR
2006
IEEE
14 years 11 months ago
2006
IEEE
Many problems in computer vision involving recognition and/or classification can be posed in the general framework of supervised learning. There is however one aspect of image dat...
TKDE
2011
13 years 4 months ago
2011
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...