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» Approximate Learning of Dynamic Models
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ICML
2004
IEEE
16 years 5 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...
ACMIDC
2010
15 years 8 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 11 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
CVPR
2007
IEEE
16 years 6 months ago
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
Le Lu, Gregory D. Hager
CAV
2009
Springer
135views Hardware» more  CAV 2009»
16 years 5 months ago
Sliding Window Abstraction for Infinite Markov Chains
Window Abstraction for Infinite Markov Chains Thomas A. Henzinger1 , Maria Mateescu1 , and Verena Wolf1,2 1 EPFL, Switzerland 2 Saarland University, Germany Abstract. We present an...
Thomas A. Henzinger, Maria Mateescu, Verena Wolf