As our ability to measure the world around us improves, we are quickly generating massive quantities of high-dimensional, spatial-temporal data. In this paper, we concern ourselve...
The need for effective search for television content is growing as the number of choices for TV viewing and/or recording explodes. In this paper we describe a preliminary prototyp...
Kent Wittenburg, Tom Lanning, Derek L. Schwenke, H...
With the proliferation of the new multi-core personal computers, and the explosion of the usage of highly concurrent machine configuration, concurrent code moves from being writt...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Mobility traces of people and vehicles have been collected and published to assist the design and evaluation of mobile networks, such as large-scale urban sensing networks. Althou...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...