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TIP
2010
127views more  TIP 2010»
15 years 5 months ago
Bayesian Compressive Sensing Using Laplace Priors
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
EMNLP
2009
15 years 4 months ago
Discriminative Corpus Weight Estimation for Machine Translation
Current statistical machine translation (SMT) systems are trained on sentencealigned and word-aligned parallel text collected from various sources. Translation model parameters ar...
Spyros Matsoukas, Antti-Veikko I. Rosti, Bing Zhan...
CORR
2011
Springer
212views Education» more  CORR 2011»
15 years 1 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
ICDE
2011
IEEE
238views Database» more  ICDE 2011»
14 years 10 months ago
Join queries on uncertain data: Semantics and efficient processing
— Uncertain data is quite common nowadays in a variety of modern database applications. At the same time, the join operation is one of the most important but expensive operations...
Tingjian Ge
IAT
2008
IEEE
16 years 1 months ago
Competency-Based Intelligent Curriculum Sequencing: Comparing Two Evolutionary Approaches
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Although semiautomatic to...
Luis de Marcos, Roberto Barchino, José-Javi...
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