39 search results - page 1 / 8 » Spectral clustering based on the graph p-Laplacian |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
We present a generalized version of spectral clustering using the graph p-Laplacian, a nonlinear generalization of the standard graph Laplacian. We show that the second eigenvecto...
ML
2010
ACM
12 years 11 months ago
2010
ACM
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Motion segmentation based on point trajectories can integrate information of a whole video shot to detect and separate moving objects. Commonly, similarities are defined between ...
ACL
2006
13 years 6 months ago
2006
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...