327 search results - page 3 / 66 » A Spectral Approach to Learning Structural Variations in Gra... |
TIT
2008
13 years 6 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
ACL
2006
13 years 7 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...
CIBCB
2007
IEEE
14 years 15 days ago
2007
IEEE
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...