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BMCBI
2007
125views more  BMCBI 2007»
13 years 7 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu
ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 26 days ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
TSP
2008
118views more  TSP 2008»
13 years 7 months ago
Maximum-Likelihood Detection of Orthogonal Space-Time Block Coded OFDM in Unknown Block Fading Channels
For orthogonal space-time block coded orthogonal frequency division multiplexing (OSTBC-OFDM) systems, many of the existing blind detection and channel estimation methods rely on t...
Tsung-Hui Chang, Wing-Kin Ma, Chong-Yung Chi
ICIP
2005
IEEE
14 years 9 months ago
Blind separation of reflections using the image mixtures ratio
A new method for the blind separation of linear image mixtures is presented in this paper. Such mixtures often occur, when, for example, we photograph a scene through a semireflec...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
AMCS
2008
146views Mathematics» more  AMCS 2008»
13 years 7 months ago
Fault Detection and Isolation with Robust Principal Component Analysis
Principal component analysis (PCA) is a powerful fault detection and isolation method. However, the classical PCA which is based on the estimation of the sample mean and covariance...
Yvon Tharrault, Gilles Mourot, José Ragot, ...