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CORR
2010
Springer
145views Education» more  CORR 2010»
13 years 5 months ago
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper...
Kezhi Li, Lu Gan, Cong Ling
ICASSP
2011
IEEE
12 years 11 months ago
Deterministic compressed-sensing matrices: Where Toeplitz meets Golay
Recently, the statistical restricted isometry property (STRIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this pa...
Kezhi Li, Cong Ling, Lu Gan
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
14 years 2 months ago
Approximating information content for active sensing tasks using the unscented transform
— This paper presents an approach to approximate information content for active sensing tasks. The Unscented Transform is used to represent probability distributions by a set of ...
Eric W. Frew
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICIP
2005
IEEE
14 years 9 months ago
Super-resolution from highly undersampled images
Aliasing artifacts in images are visually very disturbing. Therefore, most imaging devices apply a low-pass filter before sampling. This removes all aliasing from the image, but i...
Luciano Sbaiz, Martin Vetterli, Patrick Vandewalle...