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» Reconstructing Boolean Models of Signaling
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ICASSP
2011
IEEE
14 years 1 months ago
Dense disparity estimation from linear measurements
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
Vijayaraghavan Thirumalai, Pascal Frossard
CVPR
2008
IEEE
15 years 11 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
ICASSP
2009
IEEE
15 years 4 months ago
Accelerated 3D MRI of vocal tract shaping using compressed sensing and parallel imaging
3D MRI of the upper airway has provided valuable insights into vocal tract shaping and data for the modeling of speech production. Small movements of articulators can lead to larg...
Yoon-Chul Kim, Shrikanth S. Narayanan, Krishna S. ...
ICASSP
2007
IEEE
15 years 3 months ago
Real Time 3D Avatar Transmission using Cylinder Mapping
In this paper, we propose a client-sever system, which accomplishes acquisition, transmission and reconstruction of the 3D shape at a remote location in real time. The server cons...
Shin-ichiro Takahashi, Masaaki Ikehara, Ishtiaq Ra...
CORR
2011
Springer
210views Education» more  CORR 2011»
14 years 4 months ago
Statistical Compressed Sensing of Gaussian Mixture Models
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
Guoshen Yu, Guillermo Sapiro