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» Variational methods for the Dirichlet process
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ICASSP
2011
IEEE
14 years 7 months ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
HCI
2009
15 years 1 months ago
The Pluses and Minuses of Obtaining Measurements from Digital Scans
Digital scanners are commonplace and are used in many different applications to obtain three-dimensional shapes and linear and circumferential measurements. Even though scanners ca...
Ravindra S. Goonetilleke, Channa P. Witana, Jianhu...
DAC
2005
ACM
16 years 5 months ago
Robust gate sizing by geometric programming
We present an efficient optimization scheme for gate sizing in the presence of process variations. Using a posynomial delay model, the delay constraints are modified to incorporat...
Jaskirat Singh, Vidyasagar Nookala, Zhi-Quan Luo, ...
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FIMH
2011
Springer
14 years 7 months ago
Construction of Left Ventricle 3D Shape Atlas from Cardiac MRI
In this paper, we present an effective algorithm to construct a 3D shape atlas for the left ventricle of heart from cardiac Magnetic Resonance Image data. We derive a framework tha...
Shaoting Zhang, Mustafa Gökhan Uzunbas, Zhenn...
ICIP
2006
IEEE
16 years 5 months ago
Self-Modulated Halftones
We propose an analytic method to overcome the trade-off between the spatial and tonal resolution of traditional clustered dot halftones. Continuous phase modulated halftones that ...
Basak Oztan, Gaurav Sharma