Sciweavers

ICPR
2010
IEEE
15 years 7 months ago
SemiCCA: Efficient Semi-Supervised Learning of Canonical Correlations
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Akisato Kimura, Hirokazu Kameoka, Masashi Sugiyama...
RECOMB
2010
Springer
15 years 10 months ago
SubMAP: Aligning Metabolic Pathways with Subnetwork Mappings
Abstract. We consider the problem of aligning two metabolic pathways. Unlike traditional approaches, we do not restrict the alignment to one-to-one mappings between the molecules o...
Ferhat Ay, Tamer Kahveci