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» Learning Models of Macrobehavior in Complex Adaptive Systems
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144
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ICCV
1999
IEEE
16 years 5 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
124
Voted
WSC
2001
15 years 5 months ago
The design of a web-based training system for simulation analysis
Simulation beginners often spend a great amount of time to accumulate the knowledge as well as the experience to overcome the technical complexity of computer simulation. Limited ...
Yu-Hui Tao, Shin-Ming Guo
158
Voted
ICCSA
2003
Springer
15 years 8 months ago
Urban Site Modeling from LiDAR
This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne L...
Suya You, Jinhui Hu, Ulrich Neumann, Pamela Fox
ICASSP
2009
IEEE
15 years 10 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
151
Voted
JOT
2010
117views more  JOT 2010»
15 years 2 months ago
Formal Model and DSL for Separation of Concerns based on Views
The separation of concerns (SOC), as a conceptual tool, enables us to manage the complexity of software systems that we develop. The benefits of this paradigm, such as reuse, enhan...
Mehdi Adda, Hamid Mcheick, Hafedh Mili