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» The GLOBAL optimization method revisited
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66
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NIPS
2007
15 years 8 days ago
Bundle Methods for Machine Learning
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le
GLOBECOM
2007
IEEE
15 years 5 months ago
On Signal Processing Methods for MIMO Relay Architectures
— Relay networks have received considerable attention recently, especially when limited size and power resources impose constraints on the number of antennas within a wireless se...
Alireza Shahan Behbahani, Ricardo Merched, Ahmed M...
106
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RECOMB
2007
Springer
15 years 11 months ago
Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology
We describe an algorithm, IsoRank, for global alignment of two protein-protein interaction (PPI) networks. IsoRank aims to maximize the overall match between the two networks; in c...
Rohit Singh, Jinbo Xu, Bonnie Berger
ECCV
2002
Springer
16 years 21 days ago
A Variational Approach to Shape from Defocus
We address the problem of estimating the three-dimensional shape and radiance of a surface in space from images obtained with different focal settings. We pose the problem as an in...
Hailin Jin, Paolo Favaro
115
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ICCV
2011
IEEE
13 years 11 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang