434 search results - page 60 / 87 » Dimensionality Reduction of Clustered Data Sets |
112
Voted
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
Median-shift is a mode seeking algorithm that relies on
computing the median of local neighborhoods, instead of
the mean. We further combine median-shift with Locality
Sensitive...
104
click to vote
CEC
2005
IEEE
15 years 7 months ago
2005
IEEE
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
106
click to vote
EUROCAST
2003
Springer
15 years 6 months ago
2003
Springer
We propose a novel post processing method for visualization of fiber traces from DT-MRI data. Using a recently proposed non-linear dimensionality reduction technique, Laplacian ei...
158
click to vote
SDM
2008
SIAM
15 years 3 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
113
click to vote
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose a novel algorithm for segmenting multiple motions of different types from point correspondences in multiple affine or perspective views. Since point trajectories associ...