80 search results - page 5 / 16 » The Complexity of Distinguishing Markov Random Fields |
JMLR
2008
13 years 7 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
DAGM
2008
Springer
13 years 8 months ago
2008
Springer
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
ICIP
1998
IEEE
14 years 8 months ago
1998
IEEE
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We have recently proposed an EM-style algorithm to optimize log-linear models with hidden variables. In this paper, we use this algorithm to optimize a hidden conditional random ...