Sciweavers

1236 search results - page 22 / 248
» Robust estimation for sparse data
Sort
View
IGARSS
2009
14 years 7 months ago
A Novel STAP Algorithm using Sparse Recovery Technique
A novel STAP algorithm based on sparse recovery technique, called CS-STAP, were presented. Instead of using conventional maximum likelihood estimation of covariance matrix, our met...
Ke Sun, Hao Zhang, Gang Li, Huadong Meng, Xiqin Wa...
ITCC
2005
IEEE
15 years 3 months ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán
IGARSS
2009
14 years 7 months ago
General Framework on Change Detection in a Sparse Domain
The paper presents a general framework for change detection in radar images, for an operational purpose and in the context of environmental monitoring. This framework is based on ...
Abdourrahmane M. Atto, Grégoire Mercier, Do...
ICCV
2011
IEEE
13 years 9 months ago
Dense Disparity Maps from Sparse Disparity Measurements
In this work we propose a method for estimating disparity maps from very few measurements. Based on the theory of Compressive Sensing, our algorithm accurately reconstructs dispar...
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
CSDA
2010
157views more  CSDA 2010»
14 years 10 months ago
Robust estimation of constrained covariance matrices for confirmatory factor analysis
Confirmatory factor analysis (CFA) is a data anylsis procedure that is widely used in social and behavioral sciences in general and other applied sciences that deal with large qua...
E. Dupuis Lozeron, M. P. Victoria-Feser