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» Combining Estimators Using Non-Constant Weighting Functions
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NIPS
2007
15 years 1 months ago
Combined discriminative and generative articulated pose and non-rigid shape estimation
Estimation of three-dimensional articulated human pose and motion from images is a central problem in computer vision. Much of the previous work has been limited by the use of cru...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
EMNLP
2008
15 years 1 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
ECCV
1994
Springer
16 years 1 months ago
Using 3-Dimensional Meshes To Combine Image-Based and Geometry-Based Constraints
A uni ed framework for 3 D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-fromshad...
Pascal Fua, Yvan G. Leclerc
ICC
2007
IEEE
136views Communications» more  ICC 2007»
15 years 6 months ago
On the Approximation of the Linear Combination of Log-Normal RVs via Pearson Type IV Distribution: Application to UWB Performanc
— Approximating the sum of Log–Normal random variables (RVs) is a long–standing open issue, in the old and recent literature, and many approaches have been proposed to deal w...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
ICIP
2004
IEEE
16 years 1 months ago
Shape estimation of 3-D DNA molecules from stereo cryo-electron micro-graphs
We introduce a 3-D parametric active contour algorithm for the shape estimation of DNA molecules from stereo cryo-electron micrographs. We consider a 3-D filament (consisting of a...
Mathews Jacob, Thierry Blu, Michael Unser