Sciweavers

2990 search results - page 255 / 598
» Hidden Markov processes
Sort
View
ICML
2007
IEEE
16 years 7 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ICML
2009
IEEE
15 years 4 months ago
Accelerated sampling for the Indian Buffet Process
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
Finale Doshi-Velez, Zoubin Ghahramani
IJDMB
2011
85views more  IJDMB 2011»
15 years 1 months ago
Protein interaction detection in sentences via Gaussian Processes: a preliminary evaluation
: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Tamara Polajnar, Simon Rogers, Mark Girolami
CVPR
2007
IEEE
16 years 8 months ago
Spatio-Temporal Markov Random Field for Video Denoising
This paper presents a novel spatio-temporal Markov random field (MRF) for video denoising. Two main issues are addressed in this paper, namely, the estimation of noise model and t...
Jia Chen, Chi-Keung Tang
MICCAI
2004
Springer
16 years 7 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...