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TSP
2008
103views more  TSP 2008»
15 years 6 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...
TVCG
2008
109views more  TVCG 2008»
15 years 6 months ago
Rapid Graph Layout Using Space Filling Curves
Abstract-- Network data frequently arises in a wide variety of fields, and node-link diagrams are a very natural and intuitive representation of such data. In order for a node-link...
Chris Muelder, Kwan-Liu Ma
186
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CGF
2004
145views more  CGF 2004»
15 years 6 months ago
The State of the Art in Flow Visualization: Dense and Texture-Based Techniques
Flow visualization has been a very attractive component of scientific visualization research for a long time. Usually very large multivariate datasets require processing. These da...
Robert S. Laramee, Helwig Hauser, Helmut Doleisch,...
CORR
2004
Springer
99views Education» more  CORR 2004»
15 years 6 months ago
A class of one-dimensional MDS convolutional codes
A class of one-dimensional convolutional codes will be presented. They are all MDS codes, i. e., have the largest distance among all one-dimensional codes of the same length n and...
Heide Gluesing-Luerssen, Barbara Langfeld
VISAPP
2007
15 years 8 months ago
Modeling non-gaussian noise for robust image analysis
Accurate noise models are important to perform reliable robust image analysis. Indeed, many vision problems can be seen as parameter estimation problems. In this paper, two noise m...
Sio-Song Ieng, Jean-Philippe Tarel, Pierre Charbon...