— We address the problem of learning terrain traversability properties from visual input, using automatic mechanical supervision collected from sensors onboard an autonomous vehi...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
Information worlds continue to grow, posing daunting challenges for interfaces. This paper tries to increase our understanding of approaches to the problem, building on the Genera...
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
This paper presents a novel mechanism that seeks to allow people to explore large collections of loosely structured audio. The approach provides a lightweight preview mechanism th...
Monica M. C. Schraefel, Maria Karam, Shengdong Zha...
Our approach to the Log Analysis for Digital Societies (LADS) task of LogCLEF 2009 is to define three different levels of performance: success, failure and strong failure. To inve...