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» Fast Computation of Reachability Labeling for Large Graphs
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KDD
2002
ACM
182views Data Mining» more  KDD 2002»
15 years 10 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
NIPS
2007
14 years 11 months ago
Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
Maryam Mahdaviani, Tanzeem Choudhury
STACS
2004
Springer
15 years 3 months ago
Matching Algorithms Are Fast in Sparse Random Graphs
We present an improved average case analysis of the maximum cardinality matching problem. We show that in a bipartite or general random graph on n vertices, with high probability ...
Holger Bast, Kurt Mehlhorn, Guido Schäfer, Hi...
ICCAD
2003
IEEE
193views Hardware» more  ICCAD 2003»
15 years 3 months ago
FROSTY: A Fast Hierarchy Extractor for Industrial CMOS Circuits
: This paper presents FROSTY, a computer program for automatically extracting the hierarchy of a large-scale digital CMOS circuit from its transistor-level netlist description and ...
Lei Yang, C.-J. Richard Shi
BCB
2010
166views Bioinformatics» more  BCB 2010»
14 years 4 months ago
Fast graph approaches to measure influenza transmission across geographically distributed host types
Recent advances in next generation sequencing are providing a number of large whole-genome sequence datasets stemming from globally distributed disease occurrences. This offers an...
Adrienne Breland, Karen Schlauch, Mehmet Hadi Gune...