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» A Practical Method for the Sparse Resultant
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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...
FIMH
2005
Springer
15 years 3 months ago
SPASM: Segmentation of Sparse and Arbitrarily Oriented Cardiac MRI Data Using a 3D-ASM
Abstract. In this paper, a new technique (SPASM) based on a 3DASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with differe...
Hans C. van Assen, Mikhail G. Danilouchkine, Aleja...
ICPR
2008
IEEE
15 years 11 months ago
Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation
We present a new method for compact representation of large image datasets. Our method is based on treating small patches from an image as matrices as opposed to the conventional ...
Ajit Rajwade, Anand Rangarajan, Arunava Banerjee, ...
ICASSP
2011
IEEE
14 years 1 months ago
Video error concealment using sparse recovery and local dictionaries
Video error concealment is a post-processing technique that conceals the errors in a decoded video sequence based on data available only at the decoder. Most of the current techni...
Dzung Nguyen, Minh Dao, Trac Tran
IDA
2002
Springer
14 years 9 months ago
Classification with sparse grids using simplicial basis functions
Recently we presented a new approach [20] to the classification problem arising in data mining. It is based on the regularization network approach but in contrast to other methods...
Jochen Garcke, Michael Griebel