45 search results - page 2 / 9 » A Feature Selection Method Based on Choquet Integral and Typ... |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
IDEAL
2005
Springer
13 years 10 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
CVPR
1998
IEEE
13 years 9 months ago
1998
IEEE
Most of behavior recognition methods proposed so far share the limitations of bottom-up analysis, and singleobject assumption; the bottom-up analysis can be confused by erroneous ...