73 search results - page 8 / 15 » Kernels of Directed Graph Laplacians |
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
PAMI
2007
13 years 6 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
ESANN
2007
13 years 8 months ago
2007
Abstract. We propose a new algorithm for estimating the causal structure that underlies the observed dependence among n (n ≥ 4) binary variables X1, . . . , Xn. Our inference pri...
ICML
2008
IEEE
14 years 7 months ago
2008
IEEE
The central issue in representing graphstructured data instances in learning algorithms is designing features which are invariant to permuting the numbering of the vertices. We pr...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We design two different strategies for computing the unknown content preferences in an online social network based on a small set of nodes in the corresponding social graph for wh...