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» Estimating Vision Parameters given Data with Covariances
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SSPR
2004
Springer
15 years 7 months ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
WSC
2008
15 years 4 months ago
A distribution-free tabular CUSUM chart for correlated data with automated variance estimation
We formulate and evaluate distribution-free statistical process control (SPC) charts for monitoring an autocorrelated process when a training data set is used to estimate the marg...
Joongsup Lee, Christos Alexopoulos, David Goldsman...
VLSM
2005
Springer
15 years 7 months ago
Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision
We present a computationally efficient segmentationrestoration method, based on a probabilistic formulation, for the joint estimation of the label map (segmentation) and the para...
Mariano Rivera, Omar Ocegueda, José L. Marr...
IGARSS
2009
14 years 11 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...
CVPR
2011
IEEE
14 years 5 months ago
Multiscale Geometric and Spectral Analysis of Plane Arrangements
Modeling data by multiple low-dimensional planes is an important problem in many applications such as computer vision and pattern recognition. In the most general setting where on...
Guangliang Chen, Mauro Maggioni