426 search results - page 45 / 86 » Support Vector classifiers for Land Cover Classification |
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
For the tasks of classification, two types of patterns can generate problems: ambiguous patterns and outliers. Furthermore, it is possible to separate classification algorithms in...
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
108
click to vote
WSCG
2004
15 years 1 months ago
2004
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
CVPR
2001
IEEE
16 years 2 months ago
2001
IEEE
Bayesian approaches to supervised learning use priors on the classifier parameters. However, few priors aim at achieving "sparse" classifiers, where irrelevant/redundant...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
We extend Support Vector Machines to input spaces that are sets by ensuring that the classifier is invariant to permutations of subelements within each input. Such permutations in...