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IJCV
2012
11 years 7 months ago
Minimizing Energies with Hierarchical Costs
Abstract Computer vision is full of problems elegantly expressed in terms of energy minimization. We characterize a class of energies with hierarchical costs and propose a novel hi...
Andrew Delong, Lena Gorelick, Olga Veksler, Yuri B...
DAC
1996
ACM
13 years 9 months ago
Efficient Approximation Algorithms for Floorplan Area Minimization
Approximation has been shown to be an eective method for reducing the time and space costs of solving various oorplan area minimization problems. In this paper, we present several...
Danny Z. Chen, Xiaobo Hu
DCC
1993
IEEE
13 years 9 months ago
Minimizing Error and VLSI Complexity in the Multiplication-Free Approximation of Arithmetic Coding
Two new algorithms for performing arithmetic coding without employing multiplication are presented. The first algorithm, suitable for an alphabet of arbitrary size, reduces the wo...
Gennady Feygin, P. Glenn Gulak, Paul Chow
CVPR
2010
IEEE
14 years 1 months ago
Fast Approximate Energy Minimization with Label Costs
The α-expansion algorithm [4] has had a significant impact in computer vision due to its generality, effectiveness, and speed. Thus far it can only minimize energies that involv...
Andrew Delong, Anton Osokin, Hossam Isack, Yuri Bo...
CVPR
2009
IEEE
15 years 12 days 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...