Sciweavers

411 search results - page 11 / 83
» Rank Estimation in Missing Data Matrix Problems
Sort
View
LREC
2010
137views Education» more  LREC 2010»
13 years 9 months ago
Handling of Missing Values in Lexical Acquisition
We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies tha...
Núria Bel
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 2 months ago
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
CVPR
2010
IEEE
14 years 4 months ago
Robust video denoising using low rank matrix completion
Most existing video denoising algorithms assume a single statistical model of image noise, e.g. additive Gaussian white noise, which often is violated in practice. In this paper, ...
Hui Ji, Chaoqiang Liu, Zuowei Shen, Yuhong Xu
BMCBI
2007
149views more  BMCBI 2007»
13 years 7 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
ICASSP
2010
IEEE
13 years 8 months ago
Distributed bearing estimation via matrix completion
We consider bearing estimation of multiple narrow-band plane waves impinging on an array of sensors. For this problem, bearing estimation algorithms such as minimum variance disto...
Andrew Waters, Volkan Cevher