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ICML
2005
IEEE
16 years 1 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
ICASSP
2008
IEEE
15 years 7 months ago
Scalable H.264 wireless video transmission using quasi-orthogonal space-time block codes
We propose a low-delay low-complexity end-to-end video transmission system that integrates the latest scalable H.264 codec and the full-rate full-diversity quasi-orthogonal space-...
Mohammad K. Jubran, Manu Bansal, Lisimachos P. Kon...
AAAI
2000
15 years 1 months ago
Redundancy in Random SAT Formulas
The random k-SAT model is extensively used to compare satisfiability algorithms or to find the best settings for the parameters of some algorithm. Conclusions are derived from the...
Yacine Boufkhad, Olivier Roussel
AMC
2007
111views more  AMC 2007»
15 years 19 days ago
Locating multiple optima using particle swarm optimization
Many scientific and engineering applications require optimization methods to find more than one solution to multimodal optimization problems. This paper presents a new particle ...
R. Brits, Andries Petrus Engelbrecht, F. Van den B...
98
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PR
2008
85views more  PR 2008»
15 years 13 days ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders