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UAI
2004
13 years 8 months ago
Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering
In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster valid...
Xuejian Xiong, Kap Luk Chan
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
NIPS
2008
13 years 9 months ago
Correlated Bigram LSA for Unsupervised Language Model Adaptation
We present a correlated bigram LSA approach for unsupervised LM adaptation for automatic speech recognition. The model is trained using efficient variational EM and smoothed using...
Yik-Cheung Tam, Tanja Schultz
ICASSP
2009
IEEE
14 years 2 months ago
Language model parameter estimation using user transcriptions
In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no...
Bo-June Paul Hsu, James R. Glass
VISUAL
2005
Springer
14 years 29 days ago
Unsupervised Color Film Restoration Using Adaptive Color Equalization
Chemical processing of celluloid based cinematic film, becomes unstable with time, unless they are stored at low temperatures. Some defects, such as bleaching on color movies, are ...
Alessandro Rizzi, Carlo Gatta, C. Slanzi, Gianluig...