750 search results - page 99 / 150 » Learning SVMs from Sloppily Labeled Data |
CAIP
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, ...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
CIKM
2009
Springer
14 years 1 months ago
2009
Springer
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...
PAA
2002
13 years 9 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
ICML
2000
IEEE
14 years 10 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...