— This paper presents a new method for navigation and localization of a mobile robot equipped with an omnidirectional camera. We represent the environment using a collection of o...
Amy J. Briggs, Yunpeng Li, Daniel Scharstein, Matt...
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
It has been shown that features can be selected adaptively for object tracking in changing environments [1]. We propose to use the variance of Mutual Information [2] for online fea...
This paper introduces a novel high speed convolutional character recognition system. Convolutional mode operation means that no prior localization or segmentation of characters is...
Simulation-based microarchitecture research is often hindered by the slow speed of simulators. In this work, we propose a novel statistical technique to identify highly representa...