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» Learning from Highly Structured Data by Decomposition
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IJDAR
2007
106views more  IJDAR 2007»
15 years 4 months ago
Investigation and modeling of the structure of texting language
Language usage over computer mediated discourses, like chats, emails and SMS texts, significantly differs from the standard form of the language. An urge towards shorter message l...
Monojit Choudhury, Rahul Saraf, Vijit Jain, Animes...
BMCBI
2008
153views more  BMCBI 2008»
15 years 4 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer
ICC
2007
IEEE
100views Communications» more  ICC 2007»
15 years 10 months ago
Optimal Power Allocation in SVD Equalized Multicarrier Systems
Abstract— Multicarrier transmission is an established technique for radio transmission systems and it can be considered as a promising approach for next generation wireless syste...
Andreas Ahrens, Christoph Lange, Volker Kühn,...
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BMCBI
2005
125views more  BMCBI 2005»
15 years 4 months ago
Query3d: a new method for high-throughput analysis of functional residues in protein structures
Background: The identification of local similarities between two protein structures can provide clues of a common function. Many different methods exist for searching for similar ...
Gabriele Ausiello, Allegra Via, Manuela Helmer-Cit...
WWW
2010
ACM
15 years 11 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