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ICPR
2008
IEEE
16 years 1 months ago
Local Regularized Least-Square Dimensionality Reduction
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
Changshui Zhang, Yangqing Jia
ICIP
2008
IEEE
15 years 6 months ago
Regularized depth from defocus
In the area of depth estimation from images an interesting approach has been structure recovery from defocus cue. Towards this end, there have been a number of approaches [4, 6]. ...
Vinay P. Namboodiri, Subhasis Chaudhuri, Sunil Had...
ICCV
2009
IEEE
16 years 4 months ago
Sparse Representation of Cast Shadows via L1-Regularized Least Squares
Scenes with cast shadows can produce complex sets of images. These images cannot be well approximated by lowdimensional linear subspaces. However, in this paper we show that the...
Xue Mei, Haibin Ling, David W. Jacobs
ICIP
2009
IEEE
16 years 25 days ago
Wavelet-based Parallel Mri Regularization Using Bivariate Sparsity Promoting Priors
Parallel magnetic resonance imaging (pMRI) using multiple receiver coils has emerged as a powerful 3D imaging technique for reducing scanning time or increasing image resolution. ...
ISBI
2006
IEEE
16 years 15 days ago
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction
Our goal is to optimize regularized image reconstruction methods for emission tomography with respect to the task of detecting small lesions of unknown location in the reconstruct...
Anastasia Yendiki, Jeffrey A. Fessler