We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Semantic interoperability is essential on the Semantic Web to enable different information systems to exchange data. Such interoperability can be achieved by identifying similar in...
Motivated by a representational model for the cross-modal interaction between language and other modalities we present a framework for the integration of contextual information int...
This paper describes an application for computing first-order semantic representations of English texts. It is based on a combination of hybrid shallow-deep components arranged wit...
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...