Sciweavers

ICPR
2010
IEEE
13 years 6 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
13 years 9 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