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» Estimating Missing Data in Data Streams
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IBPRIA
2007
Springer
14 years 4 months ago
Motion Segmentation from Feature Trajectories with Missing Data
Abstract. This paper presents a novel approach for motion segmentation from feature trajectories with missing data. It consists of two stages. In the first stage, missing data are...
Carme Julià, Angel Domingo Sappa, Felipe Lu...
IVC
2006
133views more  IVC 2006»
13 years 9 months ago
A subspace method for projective reconstruction from multiple images with missing data
In this paper, we consider the problem of projective reconstruction based on the subspace method. Unlike existing subspace methods which require that all the points are visible in...
W. K. Tang, Y. S. Hung
BMCBI
2007
149views more  BMCBI 2007»
13 years 9 months ago
Robust imputation method for missing values in microarray data
Background: When analyzing microarray gene expression data, missing values are often encountered. Most multivariate statistical methods proposed for microarray data analysis canno...
Dankyu Yoon, Eun-Kyung Lee, Taesung Park
CSDA
2007
110views more  CSDA 2007»
13 years 9 months ago
Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation
Previous research has shown that method two-way with error for multiple imputation in test and questionnaire data produces small bias in statistical analyses. This method is based...
Joost R. Van Ginkel, L. Andries Van der Ark, Klaas...
AMC
2006
173views more  AMC 2006»
13 years 9 months ago
Data envelopment analysis with missing values: An interval DEA approach
Missing values in inputs, outputs cannot be handled by the original data envelopment analysis (DEA) models. In this paper we introduce an approach based on interval DEA that allow...
Yannis G. Smirlis, Elias K. Maragos, Dimitris K. D...