31 search results - page 3 / 7 » Transductive Learning via Spectral Graph Partitioning |
ICMCS
2007
IEEE
14 years 8 days ago
2007
IEEE
In this paper, we present a regularization approach on discrete graph spaces for perceptual image segmentation via semisupervised learning. In this approach, first, a spectral cl...
COLT
2004
Springer
13 years 11 months ago
2004
Springer
Given a set of n randomly drawn sample points, spectral clustering in its simplest form uses the second eigenvector of the graph Laplacian matrix, constructed on the similarity gra...
PKDD
2010
Springer
13 years 3 months ago
2010
Springer
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information net...
NIPS
2008
13 years 7 months ago
2008
Semantic hashing[1] seeks compact binary codes of data-points so that the Hamming distance between codewords correlates with semantic similarity. In this paper, we show that the p...
PAKDD
2004
ACM
13 years 11 months ago
2004
ACM
The use of unlabeled data to aid classification is important as labeled data is often available in limited quantity. Instead of utilizing training samples directly into semi-super...