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174
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MA
2010
Springer
114views Communications» more  MA 2010»
15 years 5 months ago
Finite-sample inference with monotone incomplete multivariate normal data, II
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...
Wan-Ying Chang, Donald St. P. Richards
197
Voted
BMVC
2010
15 years 4 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
EGH
2010
Springer
15 years 4 months ago
GPU random numbers via the tiny encryption algorithm
Random numbers are extensively used on the GPU. As more computation is ported to the GPU, it can no longer be treated as rendering hardware alone. Random number generators (RNG) a...
Fahad Zafar, Marc Olano, Aaron Curtis
SEMWEB
2010
Springer
15 years 4 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
EDM
2009
116views Data Mining» more  EDM 2009»
15 years 4 months ago
Determining the Significance of Item Order In Randomized Problem Sets
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collecte...
Zachary A. Pardos, Neil T. Heffernan