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TNN
2010
216views Management» more  TNN 2010»
13 years 2 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
PG
2003
IEEE
14 years 29 days ago
Automatic Animation Skeleton Construction Using Repulsive Force Field
A method is proposed in this paper to automatically generate the animation skeleton of a model such that the model can be manipulated according to the skeleton. With our method, u...
Pin-Chou Liu, Fu-Che Wu, Wan-Chun Ma, Rung-Huei Li...
ICPR
2010
IEEE
14 years 1 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva
CGA
2008
13 years 7 months ago
Depth-of-Field Blur Effects for First-Person Navigation in Virtual Environments
This paper studies the use of visual blur effects, i.e., blurring of parts of the image fed back to the user, for First-Person-Navigations in Virtual Environments (VE). First, we ...
Sébastien Hillaire, Anatole Lécuyer,...
SGP
2003
13 years 9 months ago
Provably Good Surface Sampling and Approximation
We present an algorithm for meshing surfaces that is a simple adaptation of a greedy “farthest point” technique proposed by Chew. Given a surface S, it progressively adds poin...
Steve Oudot, Jean-Daniel Boissonnat