1775 search results - page 44 / 355 » Learning Spectral Clustering |
BMVC
2000
14 years 11 months ago
2000
This paper presents a spectral method for identifying multiple texture planes. We commence by showing how pairs of spectral peaks can be used to make direct estimates of the slant...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
ICVS
2003
Springer
15 years 3 months ago
2003
Springer
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...