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Experimental Evaluation of Latent Variable Models for Dimensionality Reduction (2008)

Abstract
We use electropalatographic (EPG) data as a test bed for dimen-sionality reduction methods based in latent variable modelling, in which an underlying lower dimension representation is inferred directly from the data. Several models (and mixtures of them) are investigated, including factor analysis and the generative to-pographic mapping (GTM). Experiments indicate that nonlinear latent variable modelling reveals a low-dimensional structure in the data inaccessible to the investigated linear models. 1

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Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=?doi=10.1.1.118.164
Source http://www.era.lib.ed.ac.uk/bitstream/1842/1054/1/carreira+165.pdf
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Type text
Language English
Relation 10.1.1.48.7824