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» Spectral domain-transfer learning
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ICPR
2004
IEEE
14 years 9 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren
IJCNN
2007
IEEE
14 years 2 months ago
Maximum Margin based Semi-supervised Spectral Kernel Learning
Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King
ICVS
2003
Springer
14 years 1 months ago
A Spectral Approach to Learning Structural Variations in Graphs
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
Bin Luo, Richard C. Wilson, Edwin R. Hancock
NIPS
2003
13 years 9 months ago
Learning Spectral Clustering
Francis R. Bach, Michael I. Jordan
NECO
2008
60views more  NECO 2008»
13 years 8 months ago
Spectral Algorithms for Supervised Learning
L. Lo Gerfo, Lorenzo Rosasco, Francesca Odone, Ern...