711 search results - page 47 / 143 » A cloning approach to classifier training |
96
Voted
CVPR
2004
IEEE
16 years 2 months ago
2004
IEEE
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...
130
Voted
ICDM
2003
IEEE
15 years 6 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
118
Voted
AIIA
2003
Springer
15 years 4 months ago
2003
Springer
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
126
click to vote
AVBPA
2003
Springer
15 years 4 months ago
2003
Springer
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
106
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...