Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
This tutorial presents the definition, the models and the techniques of location privacy from the data privacy perspective. By reviewing and revising the state of art research in ...
Abstract— This paper describes a new algorithm for cooperative and persistent simultaneous localization and mapping (SLAM) using multiple robots. Recent pose graph representation...
Been Kim, Michael Kaess, Luke Fletcher, John J. Le...
A non-blocking protocol that allows real-time tasks to share data in a multiprocessor system is presented in this paper. The protocol gives the means to concurrent real-time tasks...
We study similarity queries for time series data where similarity is defined in terms of a set of linear transformations on the Fourier series representation of a sequence. We ha...