351 search results - page 12 / 71 » The Skip-Innovation Model for Sparse Images |
JMLR
2010
13 years 2 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
ICA
2010
Springer
13 years 8 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
IROS
2006
IEEE
14 years 1 months ago
2006
IEEE
— In appearance based robot localization a new image is matched with every image in the database. In this paper we describe how to reduce the number of images in this database wi...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...