As a recently proposed technique, sparse representation based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse lin...
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
We compare the contributions made by sequences of part of speech tags and sequences of phrase labels for the task of grammatical relation finding. Both are used for grammar inducti...
Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the "bag...
We are developing a corpus-based approach for the prediction of help-desk responses from features in customers’ emails, where responses are represented at two levels of granular...