* We address the problem of multiple view stereo from a perceptual organization perspective. Currently, the leading methods in the field are volumetric. They operate at the level o...
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...
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...
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
Abstract—Applications such as surveillance and human motion capture require high-bandwidth recording from multiple cameras. Furthermore, the recent increase in research on sensor...