333 search results - page 12 / 67 » B-Matching for Spectral Clustering |
TIP
2010
13 years 2 months ago
2010
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
AIPRF
2008
13 years 9 months ago
2008
Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homo...
ICMLA
2008
13 years 9 months ago
2008
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Many vision tasks such as scene segmentation, or the recognition of materials within a scene, become considerably easier when it is possible to measure the spectral reflectance o...
LREC
2008
13 years 9 months ago
2008
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...