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CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 21 days ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
104
Voted
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 7 months ago
A Two-Layer Characteristic-based Rate Control Framework for Low Delay Video Transmission
— In this paper, we present a two-layer rate control In [4], their rate controller TMN8 applied the Lagrange framework for low delay video transmission based on a multiplier to d...
Chun-Yuan Chang, Ming-Hung Chen, Cheng-Fu Chou, Di...
WWW
2009
ACM
15 years 7 months ago
StatSnowball: a statistical approach to extracting entity relationships
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of tr...
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, Ji-...
74
Voted
CBMS
2005
IEEE
15 years 6 months ago
Grid Computing in 3D-EM Image Processing Using Xmipp
Image processing in three-dimensional electron microscopy (3D-EM) is characterized by large amounts of data, and voluminous computing requirements. Here, we report our first exper...
Sjors H. W. Scheres, A. J. Merino, Carlos Oscar S&...
89
Voted
ICIP
2005
IEEE
15 years 6 months ago
Bayesian blind source separation for brain imaging
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
Hicham Snoussi, Vince D. Calhoun