273 search results - page 37 / 55 » Learning the Structure of Deep Sparse Graphical Models |
EDUTAINMENT
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. We describe methods for high-performance and high-quality rendering of point models, including advanced shading, anti-aliasing, and transparency. we keep the rendering qu...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
TVCG
2012
11 years 10 months ago
2012
—The issue of transferring facial performance from one person’s face to another’s has been an area of interest for the movie industry and the computer graphics community for ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we propose a novel approach to model shape variations. It encodes sparsity, exploits geometric redundancy, and accounts for the different degrees of local variation...
NIPS
1997
13 years 8 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...