848 search results - page 40 / 170 » Feature selection in a kernel space |
115
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
139
Voted
ICRA
2008
IEEE
15 years 9 months ago
2008
IEEE
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
115
click to vote
ICML
2009
IEEE
15 years 9 months ago
2009
IEEE
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
150
Voted
ML
2010
ACM
15 years 1 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
99
Voted
CVPR
2001
IEEE
16 years 4 months ago
2001
IEEE
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...