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» Topology for Distributed Inference on Graphs
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BMCBI
2010
137views more  BMCBI 2010»
14 years 12 months ago
TreeGraph 2: Combining and visualizing evidence from different phylogenetic analyses
Background: Today it is common to apply multiple potentially conflicting data sources to a given phylogenetic problem. At the same time, several different inference techniques are...
Ben C. Stöver, Kai F. Müller
CIBCB
2007
IEEE
15 years 6 months ago
Spectral Decomposition of Signaling Networks
—Many dynamical processes can be represented as directed attributed graphs or Petri nets where relationships between various entities are explicitly expressed. Signaling networks...
Bahram Parvin, Nirmalya Ghosh, Laura Heiser, Merri...
ECCV
2008
Springer
16 years 1 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
CVPR
2003
IEEE
16 years 1 months ago
Nonparametric Belief Propagation
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
PKDD
2009
Springer
175views Data Mining» more  PKDD 2009»
15 years 6 months ago
Latent Dirichlet Bayesian Co-Clustering
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey