In this paper, we introduce a method to detect co-saliency from an image pair that may have
some objects in common. The co-saliency is modeled as a linear combination of the single …

In recent years, a web phenomenon known as Volunteered Geographic Information (VGI)
has produced large crowdsourced geographic data sets. OpenStreetMap (OSM), the leading …

The growing ubiquity of social networks has spurred research in link prediction, which aims
to predict new connections based on existing ones in the network. The 2011 IJCNN Social …

SimRank, proposed by Jeh and Widom, provides a good similarity score and has been
successfully used in many of the above mentioned applications. While there are many …

Tensor contractions constitute a key computational ingredient of numerical multi-linear
algebra. However, as the order and dimension of tensors grow, the time and space …

Link prediction is a fundamental problem in social network analysis. The key technique in
unsupervised link prediction is to find an appropriate similarity measure between nodes of a …

Although various nonlinear control theories, such as sliding mode control, have proved
sound and successful, there is a serious lack of effective or tractable design methodologies …

The assessment of node-to-node similarities based on graph topology arises in a myriad of
applications, eg, web search. SimRank is a notable measure of this type, with the intuition …

Search for objects similar to a given query object in a network has numerous applications
including web search and collaborative filtering. We use the notion of structural similarity to …

Graphs are a fundamental data structure and have been employed to model objects as well
as their relationships. The similarity of objects on the web (eg, webpages, photos, music …