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JMLR
2010
157views more  JMLR 2010»
13 years 5 months ago
Combining Experiments to Discover Linear Cyclic Models with Latent Variables
We present an algorithm to infer causal relations between a set of measured variables on the basis of experiments on these variables. The algorithm assumes that the causal relatio...
Frederick Eberhardt, Patrik O. Hoyer, Richard Sche...
PAMI
2006
137views more  PAMI 2006»
13 years 10 months ago
Isoperimetric Graph Partitioning for Image Segmentation
Spectral graph partitioning provides a powerful approach to image segmentation. We introduce an alternate idea that finds partitions with a small isoperimetric constant, requiring ...
Leo Grady, Eric L. Schwartz
ISCC
1999
IEEE
14 years 3 months ago
On Network Survivability Algorithms Based on Trellis Graph Transformations
Due to the wide range of services being supported, telecommunications networks are loaded with massive quantities of information. This stimulates extra concern for network surviva...
Soulla Louca, Andreas Pitsillides, George Samaras
RR
2010
Springer
13 years 9 months ago
Redundancy Elimination on RDF Graphs in the Presence of Rules, Constraints, and Queries
Based on practical observations on rule-based inference on RDF data, we study the problem of redundancy elimination on RDF graphs in the presence of rules (in the form of Datalog r...
Reinhard Pichler, Axel Polleres, Sebastian Skritek...
ICCV
2005
IEEE
15 years 21 days ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih