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TIP
2010
108views more  TIP 2010»
14 years 8 months ago
Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing
Abstract—In this paper, we introduce a reconstruction framework that explicitly accounts for image geometry when defining the spatial interaction between pixels in the filterin...
Noura Azzabou, Nikos Paragios, Frederic Guichard
COLING
2008
14 years 11 months ago
Regenerating Hypotheses for Statistical Machine Translation
This paper studies three techniques that improve the quality of N-best hypotheses through additional regeneration process. Unlike the multi-system consensus approach where multipl...
Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li
BMCBI
2007
120views more  BMCBI 2007»
14 years 9 months ago
Re-sampling strategy to improve the estimation of number of null hypotheses in FDR control under strong correlation structures
Background: When conducting multiple hypothesis tests, it is important to control the number of false positives, or the False Discovery Rate (FDR). However, there is a tradeoff be...
Xin Lu, David L. Perkins
BMCBI
2008
128views more  BMCBI 2008»
14 years 9 months ago
Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sa
Background: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a sign...
Cornelia Frömke, Ludwig A. Hothorn, Siegfried...
BMCBI
2010
165views more  BMCBI 2010»
14 years 9 months ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...