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» Combining Learned Discrete and Continuous Action Models
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CVPR
1998
IEEE
16 years 6 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
BMVC
2010
15 years 2 months ago
Histogram of Body Poses and Spectral Regression Discriminant Analysis for Human Action Categorization
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
Ling Shao, Xiuli Chen
CAV
1997
Springer
202views Hardware» more  CAV 1997»
15 years 8 months ago
HYTECH: A Model Checker for Hybrid Systems
A hybrid system is a dynamical system whose behavior exhibits both discrete and continuous change. A hybrid automaton is a mathematical model for hybrid systems, which combines, i...
Thomas A. Henzinger, Pei-Hsin Ho, Howard Wong-Toi
WSC
2000
15 years 5 months ago
Use of discrete event simulation to validate an agent based scheduling engine
This paper discusses the use of simulation in a new context. Most often QUEST is viewed as a stand-alone simulation tool to analyze and understand shop floor behavior. It has rare...
Shubhabrata Biswas, Sara Merchawi
WSC
2004
15 years 5 months ago
Modeling Real-World Control Systems: Beyond Hybrid Systems
Hybrid system modeling refers to the construction of system models combining both continuous and discrete dynamics. These models can greatly reduce the complexity of a phystem mod...
Stephen Neuendorffer