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...
Information Visualization Toolkits are often in the form of applications or complex frameworks and do not integrate into existing applications very easily. In this paper we introd...
In this paper, we describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and ...
H. Sundar, Deborah Silver, Nikhil Gagvani, Sven J....
The dependence ow graph is a novel intermediate representation for optimizingand parallelizing compilersthat can be viewed as an executable representation of program dependences. ...
A Bayesian treatment of latent directed graph structure for non-iid data is provided where each child datum is sampled with a directed conditional dependence on a single unknown p...