Traditional recommendation algorithms often select products with the highest predicted ratings to recommend. However, earlier research in economics and marketing indicates that a ...
Users increasingly rely on their mobile devices to search local entities, typically businesses, while on the go. Even though recent work has recognized that the ranking signals in...
We propose an efficient method for complex optimization problems that often arise in computer vision. While our method is general and could be applied to various tasks, it was mai...
We investigate the implications of the conventional "t+2D" MC 3D-DWT structure for spatial scalability, and propose a more exible "2D+t+2D" structure. An initi...
The use of whiteboards is pervasive across a wide range of work domains. But some of the qualities that make them successful—an intuitive interface, physical working space, and ...
Stacy M. Branham, Gene Golovchinsky, Scott Carter,...