41 search results - page 1 / 9 » Learning Optimized MAP Estimates in Continuously-Valued MRF ... |
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
We present a new approach for the discriminative training
of continuous-valued Markov Random Field (MRF)
model parameters. In our approach we train the MRF
model by optimizing t...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Recent work in supervised learning of term-based retrieval models has shown significantly improved accuracy can often be achieved via better model estimation [2, 10, 11, 17]. In ...