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» Modelling Smooth Paths Using Gaussian Processes
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BMCBI
2010
140views more  BMCBI 2010»
13 years 10 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
BMCBI
2007
194views more  BMCBI 2007»
13 years 10 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
IROS
2006
IEEE
94views Robotics» more  IROS 2006»
14 years 3 months ago
Spline-Based Robot Navigation
— This paper offers a path planning algorithm based on splines. The sought path avoids the obstacles, and is smooth and short. Smoothing is used as an integral part of the algori...
Evgeni Magid, Daniel Keren, Ehud Rivlin, Irad Yavn...
FLAIRS
2011
13 years 1 months ago
Given Bilingual Terminology in Statistical Machine Translation: MWE-Sensitve Word Alignment and Hierarchical Pitman-Yor Process-
This paper considers a scenario when we are given almost perfect knowledge about bilingual terminology in terms of a test corpus in Statistical Machine Translation (SMT). When the...
Tsuyoshi Okita, Andy Way
ICASSP
2011
IEEE
13 years 1 months ago
Short and smooth sampling trajectories for compressed sensing
This paper explores a novel setting for compressed sensing (CS) in which the sampling trajectory length is a critical bottleneck and must be minimized subject to constraints on th...
Rebecca M. Willett