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ICSE
2003
IEEE-ACM
14 years 8 months ago
Scaling Step-Wise Refinement
Step-wise refinement is a powerful paradigm for developing a complex program from a simple program by adding features incrementally. We present the AHEAD (Algebraic Hierarchical Eq...
Don S. Batory, Jacob Neal Sarvela, Axel Rauschmaye...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
VMV
2001
168views Visualization» more  VMV 2001»
13 years 9 months ago
High-quality Volume Rendering of Adaptive Mesh Refinement Data
Adaptive mesh refinement (AMR) is a numerical simulation technique used in computational fluid dynamics (CFD). By using a set of nested grids of different resolutions, AMR combine...
Gunther H. Weber, Oliver Kreylos, Terry J. Ligocki...
ICASSP
2011
IEEE
13 years 6 days ago
Supervised nonlinear spectral unmixing using a polynomial post nonlinear model for hyperspectral imagery
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
Yoann Altmann, Abderrahim Halimi, Nicolas Dobigeon...
ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
13 years 6 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu