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BMCBI
2008
129views more  BMCBI 2008»
15 years 6 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
SIGIR
1999
ACM
15 years 10 months ago
Probabilistic Latent Semantic Indexing
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
Thomas Hofmann
NIPS
1998
15 years 7 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan
AUTOMATICA
2005
82views more  AUTOMATICA 2005»
15 years 6 months ago
From experiment design to closed-loop control
The links between identification and control are examined. The main trends in this research area are summarized, with particular focus on the design of low complexity controllers ...
Håkan Hjalmarsson
CVPR
1997
IEEE
16 years 8 months ago
Local Blur Estimation and Super-Resolution
Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolutio...
Ming-Chao Chiang, Terrance E. Boult