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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
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- 22Reinforcement learning
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The Development of a Hypothesis-driven Framework for Commercial Geo-position Data Visual Analytics
DownloadFall 2014
Modern geo-position system (GPS) enabled smart phones are generating an increasing volume of information about their users, including geo-located search, movement, and transaction data. While this kind of data is increasingly rich and offers many grand opportunities to identify patterns and...
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Fall 2018
Dyna is an architecture for reinforcement learning agents that interleaves planning, acting, and learning in an online setting. This architecture aims to make fuller use of limited experience to achieve better performance with fewer environmental interactions. Dyna has been well studied in...
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Fall 2011
For the last two decades “active contour” or “snake” has been effective as an interactive image segmentation tool in a wide range of applications, especially for blob-object delineation. In the interactive snake segmentation process, a user draws a rough object outline; next, a cost function is...
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Spring 2012
Today, with gaming technology advancing by leaps-and-bounds, we are witnessing the proliferation of games for entertainment and education. Users can easily record their real-world experiences, through affordable smart phones, equipped with accelerometers, GPS receivers, compasses, and cameras....
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Fall 2014
Although pens and paper are pervasive in the analog world, their digital counterparts, styli and tablets, have yet to achieve the same adoption or frequency of use. Digital styli should provide a natural, intuitive method to take notes, annotate, and sketch, but have yet to reach their full...