Sciweavers

1009 search results - page 9 / 202
» Using Data Mining to Estimate Missing Sensor Data
Sort
View
PERCOM
2010
ACM
14 years 7 months ago
Target tracking with packet delays and losses - QoI amid latencies and missing data
—In this paper, we investigate how packet delays and losses affect the quality of target tracking. Specifically, we use Bayesian information of the posterior distribution of tar...
Wei Wei, Ting He, Chatschik Bisdikian, Dennis Goec...
IBPRIA
2007
Springer
15 years 3 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...
SDM
2010
SIAM
204views Data Mining» more  SDM 2010»
14 years 11 months ago
Scalable Tensor Factorizations with Missing Data
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Mo...
IVC
2006
133views more  IVC 2006»
14 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
101
Voted
BMCBI
2007
149views more  BMCBI 2007»
14 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