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BMCBI
2007
160views more  BMCBI 2007»
15 years 6 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
TIP
2008
124views more  TIP 2008»
15 years 6 months ago
Graph Laplacian Tomography From Unknown Random Projections
We introduce a graph Laplacian based algorithm for the tomography reconstruction of a planar object from its projections taken at random unknown directions. The algorithm is shown ...
Ronald R. Coifman, Yoel Shkolnisky, Fred J. Sigwor...
CORR
2004
Springer
121views Education» more  CORR 2004»
15 years 6 months ago
A measure of similarity between graph vertices
We introduce a concept of similarity between vertices of directed graphs. Let GA and GB be two directed graphs with, respectively, nA and nB vertices. We define an nB
Vincent D. Blondel, Anahí Gajardo, Maureen ...
VIP
2000
15 years 7 months ago
A System for Graph Clustering Based on User Hints
This paper presents a system for graph clustering where users can visualize the clustering and give "hints" that help a computing method to find better solutions. Hints ...
Hugo A. D. do Nascimento, Peter Eades
SIGECOM
2009
ACM
137views ECommerce» more  SIGECOM 2009»
16 years 22 days ago
An exact almost optimal algorithm for target set selection in social networks
The Target Set Selection problem proposed by Kempe, Kleinberg, and Tardos, gives a nice clean combinatorial formulation for many problems arising in economy, sociology, and medicin...
Oren Ben-Zwi, Danny Hermelin, Daniel Lokshtanov, I...