66 search results - page 3 / 14 » Unsupervised Methods for Head Assignments |
KDD
2001
ACM
14 years 10 months ago
2001
ACM
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
NAACL
2003
13 years 11 months ago
2003
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
AAAI
2006
13 years 11 months ago
2006
In this work we propose three unsupervised measures to automatically identify the number of distinct entities a given ambiguous name refers to in a corpus. We experiment with 22 a...
EMNLP
2010
13 years 7 months ago
2010
We present a novel approach to distributionalonly, fully unsupervised, POS tagging, based on an adaptation of the EM algorithm for the estimation of a Gaussian mixture. In this ap...