DSP
2008
14 years 18 days ago
2008
We study maximum a posteriori probability model order selection for linear regression models, assuming Gaussian distributed noise and coefficient vectors. For the same data model,...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
ICPR
2008
IEEE
15 years 1 months ago
2008
IEEE
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
CVPR
2006
IEEE
15 years 2 months ago
2006
IEEE
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...