In visualising multidimensional data, it is well known that different types of data require different types of algorithms to process them. Data sets might be distinguished accordi...
Acyclic partitioning on combinational boolean networks has wide range of applications, from multiple FPGA chip partitioning to parallel circuit simulation. In this paper, we prese...
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
In this paper, we propose an efficient way to simultaneously label and map targets over a multi-camera surveillance system. In the system, we first fuse the detection results from...
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...