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» The Bias Problem and Language Models in Adaptive Filtering
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NIPS
2004
13 years 9 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
BMCBI
2008
136views more  BMCBI 2008»
13 years 7 months ago
LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens
Background: Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utili...
Wah-Heng Lee, Christopher W. Wong, Wan Yee Leong, ...
ACL
2007
13 years 9 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu
AAMAS
2005
Springer
14 years 1 months ago
Dynamic and Distributed Interaction Protocols
This paper describes a protocol language which can provide agents with a flexible mechanism for coherent dialogues. The protocol language does not rely on centralised control or ...
Jarred McGinnis, David Robertson
AIA
2006
13 years 9 months ago
A Recurrent Neural Filter for Adaptive Noise Cancellation
This paper presents a dynamic neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of th...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...