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» Measuring the Similarity of Labeled Graphs
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UAI
2003
13 years 11 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
BIOINFORMATICS
2011
13 years 4 months ago
Integrative network alignment reveals large regions of global network similarity in yeast and human
Motivation: High-throughput methods for detecting molecular interactions have produced large sets of biological network data with much more yet to come. Analogous to sequence alig...
Oleksii Kuchaiev, Natasa Przulj
IPMI
2007
Springer
14 years 3 months ago
Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur...
WWW
2010
ACM
14 years 4 months ago
Measurement-calibrated graph models for social network experiments
Access to realistic, complex graph datasets is critical to research on social networking systems and applications. Simulations on graph data provide critical evaluation of new sys...
Alessandra Sala, Lili Cao, Christo Wilson, Robert ...
IV
2003
IEEE
99views Visualization» more  IV 2003»
14 years 2 months ago
Visual Representation of Database Queries using Structural Similarity
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
Dennis P. Groth