848 search results - page 124 / 170 » Feature selection in a kernel space |
141
Voted
IIS
2003
15 years 5 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
127
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper investigates a class of learning problems called learning satisfiability (LSAT) problems, where the goal is to learn a set in the input (feature) space that satisfies...
134
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
163
Voted
SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
117
Voted
SIGMOD
2002
ACM
16 years 3 months ago
2002
ACM
We present a continuously adaptive, continuous query (CACQ) implementation based on the eddy query processing framework. We show that our design provides significant performance b...