21 search results - page 1 / 5 » Generalized Clustering via Kernel Embeddings |
KI
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
EMSOFT
2007
Springer
13 years 10 months ago
2007
Springer
There is increasing interest in using general-purpose operating systems, such as Linux, on embedded platforms. It is especially important in embedded systems to use memory effici...
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
PRL
2008
13 years 4 months ago
2008
We develop a new multiclass classification method that reduces the multiclass problem to a single binary classifier (SBC). Our method constructs the binary problem by embedding sm...