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CVPR
2009
IEEE
17 years 1 months ago
Alphabet SOUP: A Framework for Approximate Energy Minimization
Many problems in computer vision can be modeled using conditional Markov random fields (CRF). Since finding the maximum a posteriori (MAP) solution in such models is NP-hard, mu...
Stephen Gould (Stanford University), Fernando Amat...
ECCV
1996
Springer
16 years 8 months ago
Dense Depth Map Reconstruction: A Minimization and Regularization Approach which Preserves Discontinuities
We present a variational approachto dense stereo reconstructionwhich combines powerful tools such as regularization and multi-scale processing to estimate directly depth from a num...
Luc Robert, Rachid Deriche
IOLTS
2008
IEEE
83views Hardware» more  IOLTS 2008»
16 years 19 days ago
On the Minimization of Potential Transient Errors and SER in Logic Circuits Using SPFD
Sets of Pairs of Functions to be Distinguished (SPFD) is a functional flexibility representation method that was recently introduced in the logic synthesis domain, and promises s...
Sobeeh Almukhaizim, Yiorgos Makris, Yu-Shen Yang, ...
ICRA
2007
IEEE
149views Robotics» more  ICRA 2007»
16 years 16 days ago
Model-based Motion Estimation of Elastic Surfaces for Minimally Invasive Cardiac Surgery
— In order to assist surgeons during surgery on moving organs, e.g. minimally invasive beating heart bypass surgery, a master-slave system which synchronizes surgical instruments...
Thomas Bader, Alexander Wiedemann, Kathrin Roberts...
SIAMIS
2010
155views more  SIAMIS 2010»
15 years 1 months ago
Smoothing Nonlinear Conjugate Gradient Method for Image Restoration Using Nonsmooth Nonconvex Minimization
Image restoration problems are often converted into large-scale, nonsmooth and nonconvex optimization problems. Most existing minimization methods are not efficient for solving su...
Xiaojun Chen, Weijun Zhou