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» The Diameter of Sparse Random Graphs
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DAGM
2008
Springer
15 years 7 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
SODA
2004
ACM
144views Algorithms» more  SODA 2004»
15 years 7 months ago
Covering minimum spanning trees of random subgraphs
We consider the problem of finding a sparse set of edges containing the minimum spanning tree (MST) of a random subgraph of G with high probability. The two random models that we ...
Michel X. Goemans, Jan Vondrák
ISCIS
2005
Springer
15 years 11 months ago
Computing Communities in Large Networks Using Random Walks
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
Pascal Pons, Matthieu Latapy
ICASSP
2009
IEEE
16 years 9 days ago
A compressive sensing approach to object-based surveillance video coding
This paper studies the feasibility and investigates various choices in the application of compressive sensing (CS) to object-based surveillance video coding. The residual object e...
Divya Venkatraman, Anamitra Makur
INFOCOM
2009
IEEE
16 years 6 days ago
Robust Counting Via Counter Braids: An Error-Resilient Network Measurement Architecture
—A novel counter architecture, called Counter Braids, has recently been proposed for accurate per-flow measurement on high-speed links. Inspired by sparse random graph codes, Co...
Yi Lu, Balaji Prabhakar