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ICIP
2010
IEEE
15 years 4 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
COLING
2010
15 years 1 months ago
Two Methods for Extending Hierarchical Rules from the Bilingual Chart Parsing
This paper studies two methods for training hierarchical MT rules independently of word alignments. Bilingual chart parsing and EM algorithm are used to train bitext correspondenc...
Martin Cmejrek, Bowen Zhou
ICNP
1999
IEEE
15 years 11 months ago
Dynamic Memory Model Based Framework for Optimization of IP Address Lookup Algorithms
The design of software-based algorithms for fast IP address lookup targeted for general purpose processors has received tremendous attention in recent years due to its low cost im...
Gene Cheung, Steven McCanne
RECOMB
2008
Springer
16 years 7 months ago
A Phylogenetic Approach to Genetic Map Refinement
Following various genetic mapping techniques conducted on different segregating populations, one or more genetic maps are obtained for a given species. However, recombination analy...
Denis Bertrand, Mathieu Blanchette, Nadia El-Mabro...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 29 days ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...