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» An Inverse Problem Approach to BRDF Modeling
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ICASSP
2011
IEEE
14 years 1 months ago
Bayesian Compressive Sensing for clustered sparse signals
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Lei Yu, Hong Sun, Jean-Pierre Barbot, Gang Zheng
TMI
2002
115views more  TMI 2002»
14 years 9 months ago
Discretization of the Radon transform and of its inverse by spline convolutions
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
Stefan Horbelt, Michael Liebling, Michael Unser
56
Voted
TSP
2008
103views more  TSP 2008»
14 years 9 months ago
Low-Rank Variance Approximation in GMRF Models: Single and Multiscale Approaches
Abstract--We present a versatile framework for tractable computation of approximate variances in large-scale Gaussian Markov random field estimation problems. In addition to its ef...
Dmitry M. Malioutov, Jason K. Johnson, Myung Jin C...
AMAST
2010
Springer
14 years 4 months ago
Learning in a Changing World, an Algebraic Modal Logical Approach
Abstract. We develop an algebraic modal logic that combines epistemic and dynamic modalities with a view to modelling information acquisition (learning) by automated agents in a ch...
Prakash Panangaden, Mehrnoosh Sadrzadeh
79
Voted
IPMI
2005
Springer
15 years 10 months ago
Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties
Abstract. This paper presents a new approach to inverse consistent image registration. A uni-directional algorithm is developed using symmetric cost functionals and regularizers. I...
Alex D. Leow, Sung-Cheng Huang, Alex Geng, James T...