图 书 馆开课单位--中央佛罗里达大学
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1Galactic Arms Race (GAR): Automatic Content Generation In a Multiplayer Online Video Game[银河军备竞赛（GAR）：在多人在线视频游戏中自动生成内容]
Kenneth O. Stanley, Ratan Kumar Guha, Erin J. Hastings(中央佛罗里达大学) This video showcases a new AI algorithm called cgNEAT that automatically generates content in video games. To demonstrate this new technique, we creat...
热度：48
Kenneth O. Stanley, Ratan Kumar Guha, Erin J. Hastings(中央佛罗里达大学) This video showcases a new AI algorithm called cgNEAT that automatically generates content in video games. To demonstrate this new technique, we creat...
热度：48
2Visual Crowd Surveillance is Like Hydrodynamics[视觉人群监控与流体动力学]
Mubarak Shah(中央佛罗里达大学) Video Surveillance and Monitoring is very active area of research in Computer Vision. However, most of the current approaches assume that the observed...
热度：42
Mubarak Shah(中央佛罗里达大学) Video Surveillance and Monitoring is very active area of research in Computer Vision. However, most of the current approaches assume that the observed...
热度：42
3A Coherent Framework for Photo-Quality Assessment and Enhancement based on Visual Aestheticsp[基于视觉美学的图像质量评价与增强框架]
Subhabrata Bhattacharya(中央佛罗里达大学) We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Un...
热度：53
Subhabrata Bhattacharya(中央佛罗里达大学) We present an interactive application that enables users to improve the visual aesthetics of their digital photographs using spatial recomposition. Un...
热度：53
4Dance evolution[舞蹈进化]
Jeff Balogh, Michael Do, Gregg Dubbin(中央佛罗里达大学) The only submission from undergraduates, this unique video challenges AI to learn how to dance by demonstrating how neuroevolution can be used to (int...
热度：73
Jeff Balogh, Michael Do, Gregg Dubbin(中央佛罗里达大学) The only submission from undergraduates, this unique video challenges AI to learn how to dance by demonstrating how neuroevolution can be used to (int...
热度：73
5Improving Offensive Performance Through Opponent Modeling[通过对手建模提高进攻性能]
Kennard R. Laviers, Gita Sukthankar(中央佛罗里达大学) Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively...
热度：57
Kennard R. Laviers, Gita Sukthankar(中央佛罗里达大学) Although in theory opponent modeling can be useful in any adversarial domain, in practice it is both difficult to do accurately and to use effectively...
热度：57
6Scalable Look-Ahead Linear Regression Trees [可扩展的前瞻线性回归树]
David Vogel(中央佛罗里达大学) The motivation behind Look-ahead Linear Regression Trees (LLRT) is that out of all the methods proposed to date, there has been no scalable approach t...
热度：56
David Vogel(中央佛罗里达大学) The motivation behind Look-ahead Linear Regression Trees (LLRT) is that out of all the methods proposed to date, there has been no scalable approach t...
热度：56
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