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AIEDAM
1998
87views more  AIEDAM 1998»
14 years 9 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 5 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
CIVR
2007
Springer
185views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Z-grid-based probabilistic retrieval for scaling up content-based copy detection
Scalability is the key issue in making content-based copy detection (CBCD) methods practical for very large image and video databases. Since copies are transformed versions of ori...
Sébastien Poullot, Olivier Buisson, Michel ...
CVPR
2012
IEEE
13 years 15 days ago
Fast search in Hamming space with multi-index hashing
There has been growing interest in mapping image data onto compact binary codes for fast near neighbor search in vision applications. Although binary codes are motivated by their ...
Mohammad Emtiyaz Norouzi, Ali Punjani, David J. Fl...
MOC
2002
71views more  MOC 2002»
14 years 9 months ago
Efficient lattice assessment for LCG and GLP parameter searches
Abstract. In the present paper we show how to speed up lattice parameter searches for Monte Carlo and quasi
Karl Entacher, Thomas Schell, Andreas Uhl