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» Maximum likelihood analysis of algorithms and data structure...
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WWW
2010
ACM
14 years 3 months ago
Sampling community structure
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...
Arun S. Maiya, Tanya Y. Berger-Wolf
SIBGRAPI
2008
IEEE
14 years 2 months ago
Structural Matching of 2D Electrophoresis Gels using Graph Models
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
BMCBI
2004
208views more  BMCBI 2004»
13 years 8 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
DAGSTUHL
2006
13 years 9 months ago
Point-set algorithms for pattern discovery and pattern matching in music
An algorithm that discovers the themes, motives and other perceptually significant repeated patterns in a musical work can be used, for example, in a music information retrieval sy...
David Meredith
SIGMOD
2012
ACM
212views Database» more  SIGMOD 2012»
11 years 10 months ago
Local structure and determinism in probabilistic databases
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...
Theodoros Rekatsinas, Amol Deshpande, Lise Getoor