168 search results - page 1 / 34 » Feature selection focused within error clusters |
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
JMM2
2008
13 years 4 months ago
2008
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
PRIS
2008
13 years 6 months ago
2008
Abstract. This paper addresses the problem of feature selection within classification processes. We present a comparison of a feature subset selection with respect to two boosting ...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...