Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...
The classification image into one of several categories is a problem arisen naturally under a wide range of circumstances. In this paper, we present a novel unsupervised model for ...
— We present a new behavior selection system for human-robot interaction that maps virtual buttons overlaid on the physical environment to the robot’s behaviors, thereby creati...
Hai Nguyen, Advait Jain, Cressel D. Anderson, Char...
Semantic Web Services have been one of the most significant research areas within the Semantic Web vision, and have been recognized as a promising technology that exhibits huge c...
Hai H. Wang, Nick Gibbins, Terry R. Payne, Ahmed S...
The World Wide Web is growing at such a pace that even the biggest centralized search engines are able to index only a small part of the available documents on the Internet. The d...