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CVPR
2003
IEEE
16 years 8 months ago
Nonparametric Belief Propagation
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
CVPR
2010
IEEE
16 years 3 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
ECCV
2010
Springer
15 years 12 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
ACL
1998
15 years 8 months ago
Project for Production of Closed-Caption TV Programs for the Hearing Impaired
We describe an on-going project whose primary aim is to establish the technology of producing closed captions for TV news programs efficiently using natural language processing an...
Takahiro Wakao, Eiji Sawamura, Terumasa Ehara, Ich...
EMNLP
2010
15 years 4 months ago
Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Zhongqiang Huang, Martin Cmejrek, Bowen Zhou