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SOCIALCOM
2010
13 years 5 months ago
Graph Comparison Using Fine Structure Analysis
We introduce a novel technique for comparing graphs using the structure of their subgraphs, which we call a graph's fine structure. Our technique compares graphs using the ear...
Owen Macindoe, Whitman Richards
FORTE
2010
13 years 9 months ago
Exploiting the Hierarchical Structure of Rule-Based Specifications for Decision Planning
Abstract. Rule-based specifications have been very successful as a declarative approach in many domains, due to the handy yet solid foundations offered by rule-based machineries li...
Artur Boronat, Roberto Bruni, Alberto Lluch-Lafuen...
ICCV
2009
IEEE
13 years 5 months ago
Associative hierarchical CRFs for object class image segmentation
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
Lubor Ladicky, Christopher Russell, Pushmeet Kohli...
ACCV
2010
Springer
13 years 2 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
14 years 1 months ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule