86 search results - page 9 / 18 » Clustering and Feature Selection using Sparse Principal Comp... |
DICTA
2003
13 years 9 months ago
2003
For face recognition, face feature selection is an important step. Better features should result in better performance. This paper describes a robust face recognition algorithm usi...
JRTIP
2008
13 years 6 months ago
2008
A pixel-pattern-based texture feature (PPBTF) is proposed for real-time gender recognition. A gray-scale image is transformed into a pattern map where edges and lines are to be use...
ESANN
2008
13 years 9 months ago
2008
In this paper we apply three pattern recognition methods (support vector machine, cluster analysis and principal component analysis) to distinguish regulatory regions from coding a...
RAS
2007
13 years 7 months ago
2007
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...