367 search results - page 16 / 74 » Sketch-based tree modeling using Markov random field |
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...
COLING
2008
13 years 9 months ago
2008
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...
IDA
2009
Springer
14 years 2 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...
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
— This paper describes a Markov random field (MRF) model with weighting parameters optimized by conditional random field (CRF) for on-line recognition of handwritten Japanese cha...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...