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VISUALIZATION
2002
IEEE
15 years 11 months ago
Efficient Simplification of Point-Sampled Surfaces
In this paper we introduce, analyze and quantitatively compare a number of surface simplification methods for point-sampled geometry. We have implemented incremental and hierarchi...
Mark Pauly, Markus H. Gross, Leif Kobbelt
ICIP
2010
IEEE
15 years 4 months ago
Bayesian regularization of diffusion tensor images using hierarchical MCMC and loopy belief propagation
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
Siming Wei, Jing Hua, Jiajun Bu, Chun Chen, Yizhou...
EUPROJECTS
2006
Springer
15 years 10 months ago
Web Mediators for Accessible Browsing
We present a highly accurate method for classifying web pages based on link percentage, which is the percentage of text characters that are parts of links normalized by the number...
Benjamin N. Waber, John J. Magee, Margrit Betke
ATAL
2008
Springer
15 years 8 months ago
Stochastic search methods for nash equilibrium approximation in simulation-based games
We define the class of games called simulation-based games, in which the payoffs are available as an output of an oracle (simulator), rather than specified analytically or using a...
Yevgeniy Vorobeychik, Michael P. Wellman
HIS
2004
15 years 7 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...