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SSPR
2004
Springer
14 years 1 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
ISIPTA
2003
IEEE
145views Mathematics» more  ISIPTA 2003»
14 years 1 months ago
An Extended Set-valued Kalman Filter
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
Darryl Morrell, Wynn C. Stirling
SSIAI
2000
IEEE
14 years 23 days ago
Unsupervised Dempster-Shafer Fusion of Dependent Sensors
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
Wojciech Pieczynski
ACL
2010
13 years 6 months ago
Optimising Information Presentation for Spoken Dialogue Systems
We present a novel approach to Information Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statistical optimisation framework for content planning and attri...
Verena Rieser, Oliver Lemon, Xingkun Liu
COLING
2010
13 years 3 months ago
Learning Phrase Boundaries for Hierarchical Phrase-based Translation
Hierarchical phrase-based models provide a powerful mechanism to capture non-local phrase reorderings for statistical machine translation (SMT). However, many phrase reorderings a...
Zhongjun He, Yao Meng, Hao Yu