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» Simultaneous Graphic Generalization of Vector Data Sets
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NIPS
2008
13 years 9 months ago
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
Guangzhi Cao, Charles A. Bouman
DOCENG
2003
ACM
14 years 1 months ago
Using SVG as the rendering model for structured and graphically complex web material
This paper reports some experiments in using SVG (Scalable Vector Graphics), rather than the browser default of (X)HTML/CSS, as a potential Web-based rendering technology, in an a...
Julius C. Mong, David F. Brailsford
PRL
2006
114views more  PRL 2006»
13 years 7 months ago
Incremental training of support vector machines using hyperspheres
In the conventional incremental training of support vector machines, candidates for support vectors tend to be deleted if the separating hyperplane rotates as the training data ar...
Shinya Katagiri, Shigeo Abe
CG
2006
Springer
13 years 7 months ago
Interactive out-of-core isosurface visualisation in time-varying data sets
We present a combination of techniques for interactive out-of-core visualisation of isosurfaces from large timedependent data sets. We make use of an index tree, computed in a pre...
Benjamin Vrolijk, Frits H. Post
VISSYM
2003
13 years 9 months ago
MCMR: A Fluid View on Time Dependent Volume Data
Mass Conservative Motion Reconstruction is a new method for estimating motion in time dependent volume data. A time dependent vector field representing the movement of the data i...
Wim C. de Leeuw, Robert van Liere