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BMCBI
2007
134views more  BMCBI 2007»
15 years 6 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
CGF
2006
145views more  CGF 2006»
15 years 6 months ago
Classification of Illumination Methods for Mixed Reality
A mixed reality (MR) represents an environment composed both by real and virtual objects. MR applications are used more and more, for instance in surgery, architecture, cultural h...
Katrien Jacobs, Céline Loscos
KES
2006
Springer
15 years 6 months ago
Combined Gene Selection Methods for Microarray Data Analysis
In recent years, the rapid development of DNA Microarray technology has made it possible for scientists to monitor the expression level of thousands of genes in a single experiment...
Hong Hu, Jiuyong Li, Hua Wang, Grant Daggard
IACR
2011
113views more  IACR 2011»
14 years 6 months ago
Implementing 4-Dimensional GLV Method on GLS Elliptic Curves with j-Invariant 0
Abstract. The Gallant-Lambert-Vanstone (GLV) method is a very efcient technique for accelerating point multiplication on elliptic curves with eciently computable endomorphisms. G...
Zhi Hu, Patrick Longa, Maozhi Xu
CVPR
2009
IEEE
16 years 4 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...