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IPSN
2004
Springer
14 years 29 days ago
Nonparametric belief propagation for self-calibration in sensor networks
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
Alexander T. Ihler, John W. Fisher III, Randolph L...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer
IROS
2006
IEEE
204views Robotics» more  IROS 2006»
14 years 1 months ago
Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning
— This work recommends an architecture and its fundamental components for motion planning for mobile robots in dynamic environments. An adaptive behavior to typical motion patter...
Thorsten Rennekamp, Kai Homeier, Torsten Kroeger
ICDM
2008
IEEE
102views Data Mining» more  ICDM 2008»
14 years 2 months ago
A Non-parametric Semi-supervised Discretization Method
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...
Alexis Bondu, Marc Boullé, Vincent Lemaire,...
MICCAI
2009
Springer
14 years 8 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...