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» Applications of Regularized Least Squares to Classification ...
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IPMI
2011
Springer
13 years 1 days ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
ICCV
2011
IEEE
12 years 8 months ago
Sparse Representation or Collaborative Representation: Which Helps Face Recognition?
As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse lin...
Lei Zhang, Meng Yang, Xiangchu Feng
PRL
2010
105views more  PRL 2010»
13 years 7 months ago
Quasi-random nonlinear scale space
A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
VISUALIZATION
2002
IEEE
14 years 1 months ago
Oriented Tensor Reconstruction: Tracing Neural Pathways from Diffusion Tensor MRI
In this paper we develop a new technique for tracing anatomical fibers from 3D tensor fields. The technique extracts salient tensor features using a local regularization techniq...
Leonid Zhukov, Alan H. Barr
ICIP
1995
IEEE
14 years 5 days ago
Multigrid adaptive image processing
We consider a general weighted least squares approximation problem with a membrane spline regularization term. The key parameters in this formulation are the weighting factors whi...
Michael Unser