539 search results - page 10 / 108 » Automatic feature selection in neuroevolution |
FUZZIEEE
2007
IEEE
14 years 4 months ago
2007
IEEE
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
PAMI
2008
13 years 9 months ago
2008
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
VMV
2001
13 years 11 months ago
2001
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
PAKDD
2005
ACM
14 years 3 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...