114 search results - page 12 / 23 » OP-Cluster: Clustering by Tendency in High Dimensional Space |
CIRA
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
MICCAI
2005
Springer
14 years 8 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...
CGF
2010
13 years 4 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
ICPR
2002
IEEE
14 years 13 days ago
2002
IEEE
Kernel functions can be viewed as a non-linear transformation that increases the separability of the input data by mapping them to a new high dimensional space. The incorporation ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...