376 search results - page 6 / 76 » Supervised dimensionality reduction using mixture models |
ICASSP
2011
IEEE
13 years 1 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 ...
ICIP
2004
IEEE
14 years 11 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
14 years 4 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...
ICANN
2010
Springer
13 years 10 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, ...
SDM
2007
SIAM
13 years 11 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...