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» A Global Joint Model for Semantic Role Labeling
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CVPR
2008
IEEE
16 years 5 days ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
IJCV
2012
13 years 17 days ago
Harmony Potentials - Fusing Global and Local Scale for Semantic Image Segmentation
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation. However, existing HCRF m...
Xavier Boix, Josep M. Gonfaus, Joost van de Weijer...
86
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SIGIR
2005
ACM
15 years 3 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
IPMI
2005
Springer
15 years 11 months ago
The Role of Non-Overlap in Image Registration
Here we model the effect of non-overlapping voxels on image registration, and show that a major defect of overlap-only models--their limited capture range--can be alleviated. Theor...
Jonas August, Takeo Kanade
EMNLP
2008
14 years 11 months ago
Jointly Combining Implicit Constraints Improves Temporal Ordering
Previous work on ordering events in text has typically focused on local pairwise decisions, ignoring globally inconsistent labels. However, temporal ordering is the type of domain...
Nathanael Chambers, Daniel Jurafsky