1956 search results - page 10 / 392 » Learning the Relative Importance of Features in Image Data |
ICDE
2007
IEEE
14 years 1 months ago
2007
IEEE
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This proble...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
AUSDM
2007
Springer
14 years 1 months ago
2007
Springer
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...