Michael R. Scheessele

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Assigning the development of a poker-playing agent as a group project allows flexibility with respect to the topics and techniques typically covered in an introductory Artificial Intelligence course. A poker agent project also provides students the experience of 'authentic' AI research, due to the status of poker as an 'unsolved' problem in AI. Despite this(More)
The two-stage model of amodal completion or TSM (Sekuler & Palmer, 1992), and the ambiguity theory (Rauschenberger, Peterson, Mosca, & Bruno, 2004) provide conflicting accounts of the phenomenon of amodal completion in 2-D images. TSM claims that an initial mosaic (2-D) representation gives way to a later amodally completed (3-D) representation.(More)
The goal of this study was to explore the use of machine learning techniques in the development of a web-based application that transcribes between multiple orthogra-phies of the same language. To this end, source text files used in the publishing of the Iu Mien Bible translation in 4 scripts were merged into a single textbase that served as a text corpus(More)
When a figure is only partially visible and its contours represent a small fraction of total image contours (as when there is much background clutter), a fast contour classification mechanism may filter non-figure contours in order to restrict the size of the input to subsequent contour grouping mechanisms. The results of two psychophysical experiments(More)
The thesis presents an effort at developing a robust, interactive framework for rendering 3-D fire in real-time in a production environment. Many techniques of rendering fire in non real-time exist and are constantly employed by the movie industry. Many of the systems developed for rendering fire in offline mode directly influenced and inspired real-time(More)
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