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» Lightly supervised and unsupervised acoustic model training
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ICPR
2008
IEEE
14 years 3 months ago
A clustering algorithm combine the FCM algorithm with supervised learning normal mixture model
In this paper we propose a new clustering algorithm which combines the FCM clustering algorithm with the supervised learning normal mixture model; we call the algorithm as the FCM...
Wei Wang, Chunheng Wang, Xia Cui, Ai Wang
ICASSP
2010
IEEE
13 years 8 months ago
Investigations on ensemble based unsupervised adaptation methods
We have previously proposed unsupervised cross-validation (CV) adaptation that introduces CV into an iterative unsupervised batch mode adaptation framework to suppress the influe...
Yu Kubota, Takahiro Shinozaki, Sadaoki Furui
ACL
2000
13 years 10 months ago
Minimally Supervised Morphological Analysis by Multimodal Alignment
This paper presents a corpus-based algorithm capable of inducing inflectional morphological analyses of both regular and highly irregular forms (such as broughtbring) from distrib...
David Yarowsky, Richard Wicentowski
KCAP
2005
ACM
14 years 2 months ago
AutoFeed: an unsupervised learning system for generating webfeeds
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
Bora Gazen, Steven Minton
PAMI
2008
170views more  PAMI 2008»
13 years 8 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja