376 search results - page 8 / 76 » Supervised dimensionality reduction using mixture models |
112
Voted
TKDE
2008
15 years 15 days ago
2008
The linear discriminant analysis (LDA) technique is very popular in pattern recognition for dimensionality reduction. It is a supervised learning technique that finds a linear tran...
109
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
118
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
NIPS
1998
15 years 1 months ago
1998
This paper applies the Mixture of Gaussians probabilistic model, combined with Expectation Maximization optimization to the task of summarizing three dimensional range data for a ...
IDEAL
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...