93 search results - page 1 / 19 » Support Vector Clustering for Brain Activation Detection |
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
IWINAC
2009
Springer
13 years 9 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...
TMI
2010
13 years 3 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
ISBI
2004
IEEE
14 years 5 months ago
2004
IEEE
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...