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» Learning nonlinear dynamic models
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101
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CVPR
2008
IEEE
16 years 1 months ago
Human action recognition using Local Spatio-Temporal Discriminant Embedding
Human action video sequences can be considered as nonlinear dynamic shape manifolds in the space of image frames. In this paper, we address learning and classifying human actions ...
Kui Jia, Dit-Yan Yeung
ICML
2004
IEEE
15 years 12 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
82
Voted
ACMIDC
2010
15 years 3 months ago
BeeSim: leveraging wearable computers in participatory simulations with young children
New technologies have enabled students to become active participants in computational simulations of dynamic and complex systems (called Participatory Simulations), providing a &q...
Kylie A. Peppler, Joshua A. Danish, Benjamin Zaitl...
MM
2009
ACM
252views Multimedia» more  MM 2009»
15 years 5 months ago
Localizing volumetric motion for action recognition in realistic videos
This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge ca...
Xiao Wu, Chong-Wah Ngo, Jintao Li, Yongdong Zhang
ECOOP
2011
Springer
13 years 11 months ago
Frequency Estimation of Virtual Call Targets for Object-Oriented Programs
Abstract. The information of execution frequencies of virtual call targets is valuable for program analyses and optimizations of object-oriented programs. However, to obtain this i...
Cheng Zhang, Hao Xu, Sai Zhang, Jianjun Zhao, Yuti...