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ESANN
2007
15 years 1 months ago
Learning topology of a labeled data set with the supervised generative gaussian graph
Abstract. Discovering the topology of a set of labeled data in a Euclidian space can help to design better decision systems. In this work, we propose a supervised generative model ...
Pierre Gaillard, Michaël Aupetit, Géra...
WWW
2008
ACM
16 years 15 days ago
On incremental maintenance of 2-hop labeling of graphs
Recent interests on XML, Semantic Web, and Web ontology, among other topics, have sparked a renewed interest on graph-structured databases. A fundamental query on graphs is the re...
Ramadhana Bramandia, Byron Choi, Wee Keong Ng
91
Voted
CVPR
2008
IEEE
16 years 1 months ago
Active microscopic cellular image annotation by superposable graph transduction with imbalanced labels
Systematic content screening of cell phenotypes in microscopic images has been shown promising in gene function understanding and drug design. However, manual annotation of cells ...
Jun Wang, Shih-Fu Chang, Xiaobo Zhou, Stephen T. C...
IAT
2006
IEEE
15 years 5 months ago
A Labeled Graph Approach to Analyze Organizational Performance
Determining the performance of an organization is a must for both human and multi-agent organizations. The performance analysis enables organizations to uncover unexpected propert...
Mark Hoogendoorn, Jan Treur, Pinar Yolum
GG
2008
Springer
15 years 27 days ago
Labelled (Hyper)Graphs, Negotiations and the Naming Problem
We consider four different models of process interactions that unify and generalise models introduced and studied by Angluin et al. [AAD+ 04] and models introduced and studied by ...
Jérémie Chalopin, Antoni W. Mazurkie...