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» Graph Distances in the Data-Stream Model
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TAMC
2009
Springer
14 years 23 days ago
Best-Order Streaming Model
We study a new model of computation called stream checking on graph problems where a space-limited verifier has to verify a proof sequentially (i.e., it reads the proof as a strea...
Atish Das Sarma, Richard J. Lipton, Danupon Nanong...
COCO
2009
Springer
131views Algorithms» more  COCO 2009»
14 years 24 days ago
A Multi-Round Communication Lower Bound for Gap Hamming and Some Consequences
—The Gap-Hamming-Distance problem arose in the context of proving space lower bounds for a number of key problems in the data stream model. In this problem, Alice and Bob have to...
Joshua Brody, Amit Chakrabarti
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
13 years 10 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky
ISCI
2007
170views more  ISCI 2007»
13 years 6 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
ICPR
2004
IEEE
14 years 7 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus