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» On the Vulnerability of Large Graphs
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CORR
2010
Springer
153views Education» more  CORR 2010»
15 years 6 months ago
GraphLab: A New Framework for Parallel Machine Learning
Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insuf...
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny B...
JEI
2006
82views more  JEI 2006»
15 years 6 months ago
Real-time mosaic using sequential graph
To prevent large error accumulation in multiple image registration considering real-time applications, we propose a new fast global mosaic method using sequential block matching in...
Dae Woong Kim, Ki-Sang Hong
JCT
2007
133views more  JCT 2007»
15 years 6 months ago
Biased graphs. VII. Contrabalance and antivoltages
Abstract. We develop linear representation theory for bicircular matroids, a chief example being a matroid associated with forests of a graph, and bicircular lift matroids, a chief...
Thomas Zaslavsky
JOT
2010
126views more  JOT 2010»
15 years 5 months ago
Inferring design patterns using the ReP graph
Abstract Periodic refactoring of a large source code often becomes a necessity especially for long-lived projects. In order to increase maintainability and extensibility of such pr...
Tushar Sharma, Dharanipragada Janakiram
ICDAR
2009
IEEE
15 years 4 months ago
Recurrent HMMs and Cursive Handwriting Recognition Graphs
Standard cursive handwriting recognition is based on a language model, mostly a lexicon of possible word hypotheses or character n-grams. The result is a list of word alternatives...
Marc-Peter Schambach