429 search results - page 35 / 86 » Unsupervised feature selection for principal components anal... |
INTERSPEECH
2010
13 years 2 months ago
2010
Statistical methods for voice conversion are usually based on a single model selected in order to represent a tradeoff between goodness of fit and complexity. In this paper we ass...
VLSISP
2002
13 years 7 months ago
2002
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
JOT
2010
13 years 6 months ago
2010
The selection of software architecture style is an important decision of design stage, and has a significant impact on various system quality attributes. To determine software arc...
ICMCS
2006
IEEE
14 years 1 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
ICIC
2005
Springer
14 years 1 months ago
2005
Springer
Dimension reduction is a crucial step for pattern recognition and information retrieval tasks to overcome the curse of dimensionality. In this paper a novel unsupervised linear dim...