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TMI
2008
138views more  TMI 2008»
15 years 4 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
129
Voted
TROB
2008
121views more  TROB 2008»
15 years 4 months ago
A Relational Positioning Methodology for Robot Task Specification and Execution
Abstract--This paper presents a relational positioning methodology that allows to restrict totally or partially the movements of an object by specifying its allowed positions in te...
Adolfo Rodriguez, Luis Basañez, Enric Celay...

Publication
170views
15 years 4 months ago
Covariance Regularization for Supervised Learning in High Dimensions
This paper studies the effect of covariance regularization for classific ation of high-dimensional data. This is done by fitting a mixture of Gaussians with a regularized covaria...
Daniel L. Elliott, Charles W. Anderson, Michael Ki...
COR
2008
131views more  COR 2008»
15 years 3 months ago
Queueing analysis of a server node in transaction processing middleware systems
Quantitative performance modeling of complex information systems is of immense importance for designing enterprise e-business infrastructures and applications. In this paper, we p...
Wei Xiong, Tayfur Altiok
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 3 months ago
Viewpoint detection models for sequential embodied object category recognition
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...
David Meger, Ankur Gupta, James J. Little