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» Pairwise Clustering and Graphical Models
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SSPR
2004
Springer
14 years 1 days ago
An Optimal Probabilistic Graphical Model for Point Set Matching
We present a probabilistic graphical model for point set matching. By using a result about the redundancy of the pairwise distances in a point set, we represent the binary relation...
Tibério S. Caetano, Terry Caelli, Dante Aug...
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 7 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe
ICCV
2011
IEEE
12 years 6 months ago
Learning to Cluster Using High Order Graphical Models with Latent Variables
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
Nikos Komodakis
NIPS
2004
13 years 8 months ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
14 years 1 months ago
Semi-supervised Clustering Using Bayesian Regularization
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...
Zuobing Xu, Ram Akella, Mike Ching, Renjie Tang