3006 search results - page 182 / 602 » Dimensionality reduction and generalization |
168
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
157
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KDD
2006
ACM
16 years 4 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...
150
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EUROSYS
2006
ACM
16 years 27 days ago
2006
ACM
Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are in...
139
Voted
CIARP
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
150
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CIKM
2007
Springer
15 years 10 months ago
2007
Springer
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...