Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...
A study at a large IT company shows that mobile information workers frequently migrate work across devices (here: smartphones, desktop PCs, laptops). While having multiple devices...
The use of multiple LCD monitors is becoming popular as prices are reduced, but this creates problems for window management and switching between applications. For a single monito...