318 search results - page 10 / 64 » A General Wrapper Approach to Selection of Class-Dependent F... |
AAAI
2000
13 years 9 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
ICPR
2008
IEEE
14 years 8 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
2008
IEEE
14 years 8 months ago
2008
IEEE
This paper proposes a general feature selection approach for real-time image matching systems. To demonstrate the idea's effectiveness, we focus on the issue of rotational in...
PRL
2006
13 years 7 months ago
2006
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...