Abstract: Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In mul...
Computing the frequency of a pattern is one of the key operations in data mining algorithms. We describe a simple yet powerful way of speeding up any form of frequency counting sa...
Carson Kai-Sang Leung, Raymond T. Ng, Heikki Manni...
The problem attacked in this paper is one of automatically mapping an application onto a Network-on-Chip (NoC) based chip multiprocessor (CMP) architecture in a locality-aware fas...
Guangyu Chen, Feihui Li, Seung Woo Son, Mahmut T. ...
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
We present an image-based Simultaneous Localization and Mapping (SLAM) framework with online, appearanceonly loop closing. We adopt a layered approach with metric maps over small ...