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NIPS
2004
13 years 7 months ago
2004
We present a semi-parametric latent variable model based technique for density modelling, dimensionality reduction and visualization. Unlike previous methods, we estimate the late...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
BIBE
2009
IEEE
13 years 9 months ago
2009
IEEE
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
BMCBI
2007
13 years 5 months ago
2007
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
NIPS
2003
13 years 7 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...