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BMCBI
2007
166views more  BMCBI 2007»
15 years 5 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
IJCV
2006
165views more  IJCV 2006»
15 years 5 months ago
A Riemannian Framework for Tensor Computing
Tensors are nowadays a common source of geometric information. In this paper, we propose to endow the tensor space with an affine-invariant Riemannian metric. We demonstrate that ...
Xavier Pennec, Pierre Fillard, Nicholas Ayache
JPDC
2006
133views more  JPDC 2006»
15 years 5 months ago
Locality in structured peer-to-peer networks
Distributed hash tables (DHTs), used in a number of structured peer-to-peer (P2P) systems provide efficient mechanisms for resource placement and location. A key distinguishing fe...
Ronaldo A. Ferreira, Suresh Jagannathan, Ananth Gr...
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PAMI
2008
216views more  PAMI 2008»
15 years 5 months ago
Annotating Images by Mining Image Search Results
Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel atte...
Xin-Jing Wang, Lei Zhang 0001, Xirong Li, Wei-Ying...
PR
2008
161views more  PR 2008»
15 years 5 months ago
A study on three linear discriminant analysis based methods in small sample size problem
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
Jun Liu, Songcan Chen, Xiaoyang Tan
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