335 search results - page 45 / 67 » Self-Tuning Spectral Clustering |
COLT
2006
Springer
13 years 11 months ago
2006
Springer
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
DAS
2008
Springer
13 years 9 months ago
2008
Springer
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
ISCA
2007
IEEE
13 years 7 months ago
2007
IEEE
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...