Hitherto, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In this paper we present an approach to la...
Biomedical named entity recognition (NER) is a difficult problem in biomedical information processing due to the widespread ambiguity of terms out of context and extensive lexical ...
Seonho Kim, Juntae Yoon, Kyung-Mi Park, Hae-Chang ...
Systems now exist which are able to con:pile unification gralmnars into language models that can be included in a speech recognizer, but it is so far unclear whether non-trivial l...
Manny Rayner, Beth Ann Hockey, Frankie James, Eliz...
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
In this paper, we propose two fault models and methods for the derivation of interoperability test suites when the system implementation is given in the form of two deterministic c...