39 search results - page 3 / 8 » Learning Real-Time MRF Inference for Image Denoising |
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
We propose a hybrid face recognition method that combines holistic and feature analysis-based approaches using a Markov random field (MRF) model. The face images are divided into ...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
—This paper proposes the sequential context inference (SCI) algorithm for Markov random field (MRF) image analysis. This algorithm is designed primarily for fast inference on an...
JMLR
2010
12 years 12 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper we study the following problem: given two source images A and A , and a target image B, can we learn to synthesize a new image B which relates to B in the same way t...