376 search results - page 6 / 76 » Supervised dimensionality reduction using mixture models |
121
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
106
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ICIP
2004
IEEE
16 years 2 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
ICA
2007
Springer
15 years 7 months ago
2007
Springer
In this paper we describe a methodology for model-based single channel separation of sounds. We present a sparse latent variable model that can learn sounds based on their distribu...
115
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ICANN
2010
Springer
15 years 1 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
117
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SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...