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» Recovering signals from lowpass data
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ECCV
2008
Springer
15 years 22 days ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 11 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
DAC
2010
ACM
13 years 9 months ago
An error tolerance scheme for 3D CMOS imagers
A three-dimensional (3D) CMOS imager constructed by stacking a pixel array of backside illuminated sensors, an analog-to-digital converter (ADC) array, and an image signal process...
Hsiu-Ming Chang, Jiun-Lang Huang, Ding-Ming Kwai, ...
INTERSPEECH
2010
13 years 5 months ago
Beyond sentence prosody
The prosody of a sentence (utterance) when it appears in a discourse context differs substantially from when it is uttered in isolation. This paper addresses why paragraph is a di...
Chiu-yu Tseng
MSE
2002
IEEE
198views Hardware» more  MSE 2002»
14 years 3 months ago
BSS: A New Approach for Watermark Attack
Digital watermarking is the enabling technology to prove ownership on copyrighted material, detect originators of illegally made copies, monitor the usage of the copyrighted multi...
Jiang Du, Choong-Hoon Lee, Heung-Kyu Lee, Young-Ho...