This paper describes a new method for extracting open compounds (uninterrupted sequences of words) from text corpora of languages, such as Thai, Japanese and Korea that exhibit un...
This paper addresses the problem of lip segmentation in color space, which is a crucial issue to the success of a lip-reading system. We present a new segmentation approach to lip ...
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Search-based test-data generation has proved successful for code-level testing but almost no search-based work has been carried out at evels of abstraction. In this paper the appl...
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...