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CIKM
2008
Springer
13 years 9 months ago
Mining conceptual graphs for knowledge acquisition
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Milagros Fernández, Eric Villemonte de la C...
CVPR
2010
IEEE
14 years 3 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
SG
2005
Springer
14 years 1 months ago
Picturing Causality - The Serendipitous Semiotics of Causal Graphs
Abstract. Bayesian nets (BNs) appeared in the 1980s as a solution to computational and representational problems encountered in knowledge representation of uncertain information. S...
Eric Neufeld, Sonje Kristtorn
SSPR
2000
Springer
13 years 11 months ago
Prototype Learning with Attributed Relational Graphs
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Pasquale Foggia, Roberto Genna, Mario Vento
CATS
2008
13 years 9 months ago
Well-covered Graphs and Greedoids
G is a well-covered graph provided all its maximal stable sets are of the same size (Plummer, 1970). S is a local maximum stable set of G, and we denote by S (G), if S is a maxim...
Vadim E. Levit, Eugen Mandrescu