1775 search results - page 303 / 355 » Learning Spectral Clustering |
108
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
111
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ISBI
2008
IEEE
16 years 2 months ago
2008
IEEE
A major source of information for identifying subcellular location on a proteome-wide basis will be imaging of tagged proteins in living cells using fluorescence microscopy. We ha...
116
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KDD
2006
ACM
16 years 1 months ago
2006
ACM
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
ALT
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. The paper considers the problem of semi-supervised multiview classification, where each view corresponds to a Reproducing Kernel Hilbert Space. An algorithm based on co-...
122
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ICDAR
2009
IEEE
15 years 8 months ago
2009
IEEE
The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsu...