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NIPS
2008
13 years 9 months ago
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
We show how improved sequences for magnetic resonance imaging can be found through optimization of Bayesian design scores. Combining approximate Bayesian inference and natural ima...
Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann,...
IMAGING
2004
13 years 9 months ago
Extending Printing Color Gamut by Optimizing the Spectral Reflectance of Inks
A computer simulation was performed to investigate the optimum combinations of three- and four-chromatic inks in order to maximize the color gamut for halftone printing. A virtual...
Yongda Chen, Roy S. Berns, Lawrence A. Taplin
CORR
2006
Springer
107views Education» more  CORR 2006»
13 years 7 months ago
The Multiple Access Channel with Feedback and Correlated Sources
Abstract-- In this paper, we investigate communication strategies for the multiple access channel with feedback and correlated sources (MACFCS). The MACFCS models a wireless sensor...
Lawrence Ong, Mehul Motani
CVPR
2012
IEEE
11 years 10 months ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
CVPR
2009
IEEE
15 years 2 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...