We introduce the Multi-Structural Database, a new data framework to support efficient analysis of large, complex data sets. An instance of the model consists of a set of data obje...
Ronald Fagin, Ramanathan V. Guha, Ravi Kumar, Jasm...
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
This paper presents a method to detect passengers on-board public transport vehicles with the ultimate aim of monitoring their behaviours under suspicious circumstances. The metho...
In wireless sensor networks, the vast majority of wide-scale traffic consists of only a few bytes, including all network and application layer IDs. Therefore, MAC addresses, which...
Curt Schurgers, Gautam Kulkarni, Mani B. Srivastav...
This paper deals with an unusual phenomenon where most machine learning algorithms yield good performance on the training set but systematically worse than random performance on th...