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» Multihomogeneous Newton methods
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CVPR
2010
IEEE
14 years 3 months ago
Parametric Dimensionality Reduction by Unsupervised Regression
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...
Miguel Carreira-perpinan, Zhengdong Lu
CVPR
2009
IEEE
14 years 2 months ago
On compositional Image Alignment, with an application to Active Appearance Models
Efficient and accurate fitting of Active Appearance Models (AAM) is a key requirement for many applications. The most efficient fitting algorithm today is Inverse Compositiona...
Brian Amberg, Andrew Blake, Thomas Vetter
JCC
2010
113views more  JCC 2010»
13 years 5 months ago
MDLab: A molecular dynamics simulation prototyping environment
Molecular dynamics (MD) simulation involves solving Newton’s equations of motion for a system of atoms, by calculating forces and updating atomic positions and velocities over a...
Trevor M. Cickovski, Santanu Chatterjee, Jacob Wen...
UAI
2003
13 years 8 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
ECCV
2002
Springer
14 years 9 months ago
Building Roadmaps of Local Minima of Visual Models
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...
Cristian Sminchisescu, Bill Triggs