1812 search results - page 91 / 363 » A Support Vector Clustering Method |
126
Voted
CVPR
2009
IEEE
15 years 7 months ago
2009
IEEE
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
148
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
155
Voted
CVPR
2005
IEEE
15 years 9 months ago
2005
IEEE
This paper proposes a novel nonlinear discriminant analysis method named by Kernerlized Maximum Average Margin Criterion (KMAMC), which has combined the idea of Support Vector Mac...
117
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SAMT
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
227
Voted
ISNN
2011
Springer
14 years 6 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...