Computer vision approaches have shown to be an effective tool for wildlife identification across a wide range of species. As the field grows and the amount of available data grows with it, deep learning based approaches ...

The purpose of this research is to study the structure of social networks with an added temporal element. Specifically, we examine dynamic community behavior within social networks. We base our experiments on a simple ...

Collective decision making requires dealing with competing preferences. One probably needs little convincing that such problems can be complex and difficult to solve. There are many types of preferences, many different ...

Many optimizations exist via tweaking the sparsity factor, the number of left singular vectors used, or the column subset selection method. Many combinations of these approaches are examined, and their efficacy are reported ...

Network Formation Games is a rich category of games which studies how a network emerges as an outcome of strategic interaction of self-interested nodes (agents) pursuing their own objectives. The conflicts among node ...

In the second part of this thesis, we study the challenging problem of graph classification. With the proliferation of graph data, there has been a lot of interest in recent years to develop effective methods for classifying ...

The results of this research provide a means for behavioral interventions to facilitate the diffusion of critical warning information on social media, diffusion of confirmations, and facilitation of the evacuation. ...

Let X ∈ R n×d be a data matrix of rank ρ, representing n points in R d . The linear support vector machine constructs a hyperplane separator that maximizes the 1-norm soft margin. We develop a new oblivious dimension ...