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» Matching Algorithms Are Fast in Sparse Random Graphs
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SIGMOD
2011
ACM
241views Database» more  SIGMOD 2011»
12 years 10 months ago
Neighborhood based fast graph search in large networks
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...
SODA
2012
ACM
213views Algorithms» more  SODA 2012»
11 years 10 months ago
Expanders are universal for the class of all spanning trees
Given a class of graphs F, we say that a graph G is universal for F, or F-universal, if every H ∈ F is contained in G as a subgraph. The construction of sparse universal graphs ...
Daniel Johannsen, Michael Krivelevich, Wojciech Sa...
SIGMETRICS
2003
ACM
150views Hardware» more  SIGMETRICS 2003»
14 years 1 months ago
Conductance and congestion in power law graphs
It has been observed that the degrees of the topologies of several communication networks follow heavy tailed statistics. What is the impact of such heavy tailed statistics on the...
Christos Gkantsidis, Milena Mihail, Amin Saberi
ICML
2004
IEEE
14 years 8 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
CIARP
2009
Springer
13 years 5 months ago
A Computer-Assisted Colorization Approach Based on Efficient Belief Propagation and Graph Matching
Abstract. Region-based approaches have been proposed to computerassisted colorization problem, typically using shape similarity and topology relations between regions. Given a colo...
Alexandre Noma, Luiz Velho, Roberto M. Cesar