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ISNN
2005
Springer
14 years 1 months ago
Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods
The Self-Organizing Map is a popular neural network model for data analysis, for which a wide variety of visualization techniques exists. We present a novel technique that takes th...
Georg Pölzlbauer, Andreas Rauber, Michael Dit...
RECOMB
2007
Springer
14 years 8 months ago
Association Mapping of Complex Diseases with Ancestral Recombination Graphs: Models and Efficient Algorithms
Association, or LD (linkage disequilibrium), mapping is an intensely-studied approach to gene mapping (genome-wide or in candidate regions) that is widely hoped to be able to effic...
Yufeng Wu
ICS
1993
Tsinghua U.
13 years 11 months ago
Graph Contraction for Physical Optimization Methods: A Quality-Cost Tradeoff for Mapping Data on Parallel Computers
Mapping data to parallel computers aims at minimizing the execution time of the associated application. However, it can take an unacceptable amount of time in comparison with the ...
Nashat Mansour, Ravi Ponnusamy, Alok N. Choudhary,...
HPCC
2011
Springer
12 years 7 months ago
Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies
— Mapping of parallel applications on the network topology is becoming increasingly important on large supercomputers. Topology aware mapping can reduce the hops traveled by mess...
Abhinav Bhatele, Laxmikant V. Kalé
CIKM
2011
Springer
12 years 7 months ago
Mining entity translations from comparable corpora: a holistic graph mapping approach
This paper addresses the problem of mining named entity translations from comparable corpora, specifically, mining English and Chinese named entity translation. We first observe...
Jinhan Kim, Long Jiang, Seung-won Hwang, Young-In ...