3866 search results - page 280 / 774 » Classification of Ordinal Data |
110
Voted
IGARSS
2009
14 years 10 months ago
2009
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
130
click to vote
JMLR
2010
14 years 7 months ago
2010
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
98
Voted
ESANN
2004
15 years 2 months ago
2004
Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a ...
75
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
Automatic classification of an image as a photograph of a real-scene or as a painting is potentially useful for image retrieval and website filtering applications. The main contri...
88
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes vary significantly....