73 search results - page 7 / 15 » Kernels of Directed Graph Laplacians |
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
GBRPR
2007
Springer
13 years 10 months ago
2007
Springer
We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized kernels to image process...
SMI
2010
IEEE
13 years 4 months ago
2010
IEEE
In this article, we present a rule-based language dedicated to topological operations, based on graph transformations. Generalized maps are described as a particular class of graph...
SODA
2010
ACM
14 years 4 months ago
2010
ACM
Bidimensionality theory appears to be a powerful framework in the development of meta-algorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
EMNLP
2009
13 years 4 months ago
2009
In this paper, we propose a novel class of graphs, the tripartite directed acyclic graphs (tDAGs), to model first-order rule feature spaces for sentence pair classification. We in...