801 search results - page 19 / 161 » The Inefficiency of Batch Training for Large Training Sets |
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
NIPS
2001
13 years 10 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
LWA
2004
13 years 10 months ago
2004
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...