1775 search results - page 1 / 355 » Learning Spectral Clustering |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
ECML
2006
Springer
13 years 9 months ago
2006
Springer
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
JMLR
2006
13 years 7 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...