198 search results - page 5 / 40 » From flat direct models to segmental CRF models |
ACL
2006
13 years 8 months ago
2006
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
ECCV
2006
Springer
13 years 11 months ago
2006
Springer
We propose a closed form solution for segmenting mixtures of 2-D translational and 2-D affine motion models directly from the image intensities. Our approach exploits the fact that...
ACL
2006
13 years 8 months ago
2006
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we propose a novel predictive model for
object boundary, which can integrate information from any
sources. The model is a dynamic “object” model whose
manifes...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...