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CVPR
2007
IEEE
14 years 2 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
WSC
1997
13 years 9 months ago
Computational Experience with the Batch Means Method
This article discusses implementation issues for the LBATCH and ABATCH batch means procedures of Fishman and Yarberry (1997). Theses procedures dynamically increase the batch size...
Christos Alexopoulos, George S. Fishman, Andrew F....
CG
2008
Springer
13 years 7 months ago
Practical global illumination for interactive particle visualization
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualizations of the resul...
Christiaan P. Gribble, Carson Brownlee, Steven G. ...
UAI
1996
13 years 9 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
IPMI
2005
Springer
14 years 8 months ago
Multi-figure Anatomical Objects for Shape Statistics
Abstract. Multi-figure m-reps allow us to represent and analyze a complex anatomical object by its parts, by relations among its parts, and by the object itself as a whole entity. ...
Qiong Han, Stephen M. Pizer, Derek Merck, Sarang C...