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CVPR
2012
IEEE
11 years 11 months ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...
CADE
2000
Springer
14 years 25 days ago
Two Techniques to Improve Finite Model Search
Abstract. This article introduces two techniques to improve the propagation efficiency of CSP based finite model generation methods. One approach consists in statically rewriting ...
Gilles Audemard, Belaid Benhamou, Laurent Henocque
KBSE
1995
IEEE
14 years 1 days ago
A Transformation System for Interactive Reformulation of Design Optimization Strategies
Numerical design optimization algorithms are highly sensitive to the particular formulation of the optimization problems they are given. The formulation of the search space, the o...
Thomas Ellman, John Keane, Takahiro Murata, Mark S...
COOPIS
2002
IEEE
14 years 1 months ago
Empirical Differences between COTS Middleware Scheduling Strategies
The proportion of complex distributed real-time embedded (DRE) systems made up of commercial-off-the-shelf (COTS) hardware and software is increasing significantly in response to...
Christopher D. Gill, Fred Kuhns, Douglas C. Schmid...
CODES
2001
IEEE
14 years 4 days ago
Hybrid global/local search strategies for dynamic voltage scaling in embedded multiprocessors
In this paper, we explore a hybrid global/local search optimization framework for dynamic voltage scaling in embedded multiprocessor systems. The problem is to find, for a multipr...
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...