338 search results - page 2 / 68 » A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clu... |
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
We propose a new theoretical framework for generalizing the traditional notion of covariance. First, we discuss the role of pairwise cross-cumulants by introducing a cluster expan...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
Belief Propagation (BP) can be very useful and efficient for performing approximate inference on graphs. But when the graph is very highly connected with strong conflicting intera...
IPMU
2010
Springer
13 years 9 months ago
2010
Springer
The paper offers a parallel between two approaches to conceptual clustering, namely
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Pattern recognition problems often suffer from the larger intra-class variation due to situation variations such as pose, walking speed, and clothing variations in gait recognition...
JMLR
2010
12 years 11 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...