As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
In this paper we describe a new Bayesian estimation approach for simultaneous mapping and localization for pedestrians based on odometry with foot mounted inertial sensors. When s...
Patrick Robertson, Michael Angermann, Bernhard Kra...
Abstract—This paper presents a model and theory for streaming layered video. We model the bandwidth available to the streaming application as a stochastic process whose statistic...
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...