3467 search results - page 74 / 694 » Streamwise Feature Selection |
123
click to vote
PAMI
2006
15 years 21 days ago
2006
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
130
click to vote
JMLR
2010
14 years 7 months ago
2010
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
113
Voted
TCSV
2010
14 years 7 months ago
2010
In this letter, we propose a clustering model that efficiently mitigates image and video under/over-segmentation by combining generalized Gaussian mixture modeling and feature sele...
109
Voted
ICNC
2005
Springer
15 years 6 months ago
2005
Springer
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...
109
Voted
PR
2006
15 years 21 days ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...