1775 search results - page 63 / 355 » Learning Spectral Clustering |
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
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PAMI
2012
13 years 8 days ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
SIGGRAPH
2009
ACM
15 years 4 months ago
2009
ACM
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
CCGRID
2006
IEEE
15 years 3 months ago
2006
IEEE
