322 search results - page 5 / 65 » Marketing segmentation using support vector clustering |
ISBI
2008
IEEE
14 years 4 months ago
2008
IEEE
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
CVBIA
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
IWINAC
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. In this paper we explore the use of the Voxel-based Morphometry (VBM) detection clusters to guide the feature extraction processes for the detection of Alzheimer's d...
IJON
2008
13 years 9 months ago
2008
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
NAACL
2003
13 years 11 months ago
2003
In this paper, the automatic labeling of semantic roles in a sentence is considered as a chunking task. We define a semantic chunk as the sequence of words that fills a semantic...