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ICASSP
2008
IEEE
14 years 3 months ago
Sparse reconstruction by separable approximation
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
Stephen J. Wright, Robert D. Nowak, Mário A...
BMCBI
2010
144views more  BMCBI 2010»
13 years 8 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
ICIP
1997
IEEE
14 years 10 months ago
Image Coupling, Restoration and Enhancement via PDE's
We present a new approach based on Partial Differential Equations (PDE) to restore noisy blurred images. After studying the methods to denoise images, staying as close as possible...
Pierre Kornprobst, Rachid Deriche, Gilles Aubert
CVPR
2000
IEEE
14 years 10 months ago
Structure from Motion without Correspondence
A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the ma...
Frank Dellaert, Steven M. Seitz, Charles E. Thorpe...
DAC
2009
ACM
14 years 9 months ago
Provably good and practically efficient algorithms for CMP dummy fill
Abstract--To reduce chip-scale topography variation in Chemical Mechanical Polishing (CMP) process, dummy fill is widely used to improve the layout density uniformity. Previous res...
Chunyang Feng, Hai Zhou, Changhao Yan, Jun Tao, Xu...