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» On the Natural Imprint Function of a Graph
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APLAS
2010
ACM
14 years 8 months ago
Type Inference for Sublinear Space Functional Programming
We consider programming language aspects of algorithms that operate on data too large to fit into memory. In previous work we have introduced IntML, a functional programming langu...
Ugo Dal Lago, Ulrich Schöpp
UAI
2004
14 years 11 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
TIP
2011
164views more  TIP 2011»
14 years 4 months ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
82
Voted
BIOINFORMATICS
2007
83views more  BIOINFORMATICS 2007»
14 years 9 months ago
Exploring biological network structure using exponential random graph models
Motivation: The functioning of biological networks depends in large part on their complex underlying structure. When studying their systemic nature many modeling approaches focus ...
Zachary M. Saul, Vladimir Filkov
RECOMB
2005
Springer
15 years 9 months ago
Decomposition of Overlapping Protein Complexes: A Graph Theoretical Method for Analyzing Static and Dynamic Protein Associations
Background: Most cellular processes are carried out by multi-protein complexes, groups of proteins that bind together to perform a specific task. Some proteins form stable complex...
Elena Zotenko, Katia S. Guimarães, Raja Jot...