Clustering is an old research topic in data mining and machine learning communities. Most of the traditional clustering methods can be categorized local or global ones. In this pa...
The mean running time of a Las Vegas algorithm can often be dramatically reduced by periodically restarting it with a fresh random seed. The optimal restart schedule depends on th...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
In this paper, we extend Moss and Parikh’s approach to reasoning about topological properties of knowledge. We turn that system in a spatio-temporal direction by successively ad...
The Department of Homeland Security (DHS) shifted the focus of airport security in 2004 to incorporate the need to continuously and rapidly adapt security to shifting threats. MIT...