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DAGM
2010
Springer
15 years 5 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...
CGF
2008
127views more  CGF 2008»
15 years 4 months ago
G2 Tensor Product Splines over Extraordinary Vertices
We present a second order smooth filling of an n-valent Catmull-Clark spline ring with n biseptic patches. While an underdetermined biseptic solution to this problem has appeared ...
Charles T. Loop, Scott Schaefer
PRL
1998
132views more  PRL 1998»
15 years 4 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
CVPR
2009
IEEE
16 years 2 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICCAD
2006
IEEE
122views Hardware» more  ICCAD 2006»
16 years 1 months ago
Fill for shallow trench isolation CMP
Shallow trench isolation (STI) is the mainstream CMOS isolation technology. It uses chemical mechanical planarization (CMP) to remove excess of deposited oxide and attain a planar...
Andrew B. Kahng, Puneet Sharma, Alexander Zelikovs...