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COLING
2010
14 years 4 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
ICASSP
2011
IEEE
14 years 1 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
DAGM
2011
Springer
13 years 9 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
ICCV
1999
IEEE
15 years 12 months ago
Vision in Bad Weather
Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from "bad" weather. Ultimately, computer...
Shree K. Nayar, Srinivasa G. Narasimhan
IEEESCC
2007
IEEE
15 years 4 months ago
Web Services Security and Privacy
eb services are becoming widely deployed to implement the automation of business processes such as supply chain management, inventory tracking, and healthcare management, just to ...
Patrick C. K. Hung, Casey K. Fung
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