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» Additive Preconditioning for Matrix Computations
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119
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JMLR
2012
13 years 2 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
IPPS
2010
IEEE
14 years 10 months ago
On the parallelisation of MCMC-based image processing
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...
ICIP
2000
IEEE
16 years 2 months ago
Weighted Factorization
Factorization methods use linear subspace constraints to recover 3D rigid structure from 2D motion. Usually, these methods give equal weight to the contribution of each region (or...
Pedro M. Q. Aguiar, José M. F. Moura
CPM
1998
Springer
209views Combinatorics» more  CPM 1998»
15 years 4 months ago
A Fast Bit-Vector Algorithm for Approximate String Matching Based on Dynamic Programming
The approximate string matching problem is to find all locations at which a query of length m matches a substring of a text of length n with k-or-fewer differences. Simple and prac...
Gene Myers
102
Voted
ISRR
2005
Springer
118views Robotics» more  ISRR 2005»
15 years 6 months ago
A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
Matthew Walter, Ryan Eustice, John J. Leonard