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CP
2009
Springer
16 years 3 months ago
Constraint-Based Optimal Testing Using DNNF Graphs
The goal of testing is to distinguish between a number of hypotheses about a systemfor example, dierent diagnoses of faults by applying input patterns and verifying or falsifying t...
Anika Schumann, Martin Sachenbacher, Jinbo Huang
ECCV
2010
Springer
15 years 7 months ago
Graph Cut based Inference with Co-occurrence Statistics
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
15 years 11 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...
ISVC
2010
Springer
15 years 27 days ago
Face Recognition in Videos Using Adaptive Graph Appearance Models
Abstract. In this paper, we present a novel graph, sub-graph and supergraph based face representation which captures the facial shape changes and deformations caused due to pose ch...
Gayathri Mahalingam, Chandra Kambhamettu
ICALP
2009
Springer
16 years 2 months ago
Elimination Graphs
A graph is chordal if it does not contain any induced cycle of size greater than three. An alternative characterization of chordal graphs is via a perfect elimination ordering, whi...
Yuli Ye, Allan Borodin