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BMCBI
2010
74views more  BMCBI 2010»
13 years 8 months ago
A weighted q-gram method for glycan structure classification
Background: Glycobiology pertains to the study of carbohydrate sugar chains, or glycans, in a particular cell or organism. Many computational approaches have been proposed for ana...
Limin Li, Wai-Ki Ching, Takako Yamaguchi, Kiyoko F...
PPOPP
2009
ACM
14 years 8 months ago
Efficient and scalable multiprocessor fair scheduling using distributed weighted round-robin
Fairness is an essential requirement of any operating system scheduler. Unfortunately, existing fair scheduling algorithms are either inaccurate or inefficient and non-scalable fo...
Tong Li, Dan P. Baumberger, Scott Hahn
MICCAI
2010
Springer
13 years 5 months ago
Biomarkers for Identifying First-Episode Schizophrenia Patients Using Diffusion Weighted Imaging
Recent advances in diffusion weighted MR imaging (dMRI) has made it a tool of choice for investigating white matter abnormalities of the brain and central nervous system. In this w...
Yogesh Rathi, James G. Malcolm, Oleg V. Michailovi...
SIGPRO
2010
111views more  SIGPRO 2010»
13 years 2 months ago
Semi-supervised speaker identification under covariate shift
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
MOC
2002
118views more  MOC 2002»
13 years 7 months ago
The error bounds and tractability of quasi-Monte Carlo algorithms in infinite dimension
Dimensionally unbounded problems are frequently encountered in practice, such as in simulations of stochastic processes, in particle and light transport problems and in the problem...
Fred J. Hickernell, Xiaoqun Wang