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90
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Clustering on multi-type relational data has attracted more and more attention in recent years due to its high impact on various important applications, such as Web mining, e-comm...
96
Voted
ICML
2005
IEEE
16 years 1 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 ...
182
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ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
ISBI
2008
IEEE
16 years 1 months ago
2008
IEEE
We present a time-lapse collection and reconstruction technique that allows following embryonic heart development at any computationally halted heart contraction state. The centra...