174 search results - page 14 / 35 » Application of Feature Transformation and Learning Methods i... |
155
Voted
CIKM
2010
Springer
15 years 25 days ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
107
Voted
ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
115
Voted
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
110
Voted
ICPR
2004
IEEE
16 years 4 months ago
2004
IEEE
Improving classification accuracy is a key issue to advancing brain computer interface (BCI) research from laboratory to real world applications. This article presents a high accu...
122
Voted
ECIR
2003
Springer
15 years 4 months ago
2003
Springer
This paper describes a new method for the classification of a HTML document into a hierarchy of categories. The hierarchy of categories is involved in all phases of automated docum...