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KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
CVPR
2007
IEEE
15 years 4 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
BMCBI
2008
155views more  BMCBI 2008»
14 years 10 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
CVPR
2011
IEEE
14 years 1 months ago
Registration of Camera Captured Documents Under Non-rigid Deformation
Document registration is a problem where the image of a template document whose layout is known is registered with a test document image. Given the registration parameters, layout...
Venkata Edupuganti, Suryaprakash Kompalli, Vinayak...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
14 years 10 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith