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ICASSP
2011
IEEE
14 years 7 months ago
Downsampling graphs using spectral theory
In this paper we present methods for downsampling datasets defined on graphs (i.e., graph-signals) by extending downsampling results for traditional N-dimensional signals. In par...
Sunil K. Narang, Antonio Ortega
126
Voted
ESANN
2007
15 years 5 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...
148
Voted
BMCBI
2011
14 years 10 months ago
Properties of Metabolic Graphs: Biological Organization or Representation Artifacts?
Background: Standard graphs, where each edge links two nodes, have been extensively used to represent the connectivity of metabolic networks. It is based on this representation th...
Wanding Zhou, Luay Nakhleh
148
Voted
EUROPAR
2004
Springer
15 years 9 months ago
Cluster Based Distributed Mutual Exclusion Algorithms for Mobile Networks
We propose an architecture that consists of a ring of clusters for distributed mutual exclusion algorithms in mobile networks. The mobile network is partitioned into a number of cl...
Kayhan Erciyes
MEMBRANE
2004
Springer
15 years 9 months ago
LMNtal: A Language Model with Links and Membranes
LMNtal (pronounced “elemental”) is a simple language model based on graph rewriting that uses logical variables to represent links and membranes to represent hierarchies. The ...
Kazunori Ueda, Norio Kato