429 search results - page 35 / 86 » Unsupervised feature selection for principal components anal... |
122
Voted
INTERSPEECH
2010
14 years 10 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...
145
Voted
VLSISP
2002
15 years 3 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...
158
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JOT
2010
15 years 2 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...
108
Voted
ICMCS
2006
IEEE
15 years 9 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...
149
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ICIC
2005
Springer
15 years 9 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...