100 search results - page 2 / 20 » Adapting SVM Classifiers to Data with Shifted Distributions |
MICCAI
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
Locally adaptive classifiers are usually superior to the use of a single global classifier. However, there are two major problems in designing locally adaptive classifiers. First,...
ICCV
2007
IEEE
14 years 7 months ago
2007
IEEE
We explore the problem of classifying images by the object categories they contain in the case of a large number of object categories. To this end we combine three ingredients: (i...
IEEECIT
2007
IEEE
14 years 1 days ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
KDD
2010
ACM
13 years 9 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...