KDD
2005
ACM
14 years 4 months ago
2005
ACM
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
The traditional processing flow of segmentation followed by classification in computer vision assumes that the segmentation is able to successfully extract the object of interest....
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Feature selection is attracted much interest from researchers in many fields such as pattern recognition and data mining. In this paper, a novel algorithm for feature selection is...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...