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» Representing Process Variation with a Process Family
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ECCV
2006
Springer
15 years 11 months ago
Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints
Abstract. Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines ...
Dana Cobzas, Martin Jägersand, Neil Birkbeck,...
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
86
Voted
SCALESPACE
2009
Springer
15 years 4 months ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
VTC
2008
IEEE
104views Communications» more  VTC 2008»
15 years 3 months ago
A Stochastic Model for Non-Stationary Outdoor K-Factor Variation
— A dense urban cellular environment contains many different locations where a line-of-sight or specular signal component from the base station is present. The small scale fading...
Geoffrey G. Messier, Jennifer Hartwell
DAC
2006
ACM
15 years 10 months ago
Stochastic variational analysis of large power grids considering intra-die correlations
For statistical timing and power analysis that are very important problems in the sub-100nm technologies, stochastic analysis of power grids that characterizes the voltage fluctua...
Praveen Ghanta, Sarma B. K. Vrudhula, Sarvesh Bhar...