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ICASSP
2011
IEEE
14 years 10 months ago
Additive character sequences with small alphabets for compressed sensing matrices
Compressed sensing is a novel technique where one can recover sparse signals from the undersampled measurements. In this paper, a K × N measurement matrix for compressed sensing ...
Nam Yul Yu
ICASSP
2011
IEEE
14 years 10 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
CVPR
2005
IEEE
16 years 8 months ago
Locally Adaptive Support-Weight Approach for Visual Correspondence Search
In this paper, we present a new area-based method for visual correspondence search that focuses on the dissimilarity computation. Local and area-based matching methods generally m...
Kuk-Jin Yoon, In-So Kweon
KBSE
2003
IEEE
15 years 12 months ago
Fault Localization With Nearest Neighbor Queries
We present a method for performing fault localization using similar program spectra. Our method assumes the existence of a faulty run and a larger number of correct runs. It then ...
Manos Renieris, Steven P. Reiss
ACCV
1998
Springer
15 years 11 months ago
Appearance Based Visual Learning and Object Recognition with Illumination Invariance
This paper describes a method for recognizing partially occluded objects under different levels of illumination brightness by using the eigenspace analysis. In our previous work, w...
Kohtaro Ohba, Yoichi Sato, Katsushi Ikeuchi