168 search results - page 9 / 34 » Feature selection focused within error clusters |
ECCV
2000
Springer
14 years 9 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
DCC
2006
IEEE
14 years 7 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
ACL
2011
12 years 11 months ago
2011
We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based ...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
AIED
2009
Springer
14 years 2 months ago
2009
Springer
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...