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125
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CLA
2004
15 years 6 months ago
2004
cessary to abstract it and eliminate the redundancy data. In this context, a method for data reduction based on the formal concept analysis is proposed in [16,17]. At the same time...
150
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
135
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
110
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KBSE
2007
IEEE
15 years 11 months ago
2007
IEEE
Knowing which method parameters may be mutated during a method’s execution is useful for many software engineering tasks. We present an approach to discovering parameter referen...
131
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APSEC
2006
IEEE
15 years 11 months ago
2006
IEEE
In many software development projects, people tend to repeat same mistakes due to lack of shared knowledge from past experiences. Generally, it is very difficult to manually find ...