Automated user-interface generation environments have been criticized for their failure to deliver rich and powerful interactive applications [18]. To specify more powerful system...
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
In this paper, we introduce a generative probabilistic optical character recognition (OCR) model that describes an end-to-end process in the noisy channel framework, progressing f...
Abstract We propose a novel testing technique for object-oriented programs. Based on the state and activity models of a system, we construct an intermediate representation, which w...
An intelligent robot is required for natural interaction with humans. Visual interpretation of gestures can be useful in accomplishing natural Human-Robot Interaction (HRI). Previ...