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ICCV
1999
IEEE
16 years 8 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...
HYBRID
2000
Springer
15 years 10 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
ISI
2008
Springer
15 years 6 months ago
Detecting Hidden Hierarchy in Terrorist Networks: Some Case Studies
This paper provides a novel algorithm to automatically detect the hidden hierarchy in terrorist networks. The algorithm is based on centrality measures used in social network analy...
Nasrullah Memon, Henrik Legind Larsen, David L. Hi...
SIVP
2010
118views more  SIVP 2010»
15 years 4 months ago
Self-organization of sensor networks for detection of pervasive faults
Resource aware operation of sensor networks requires adaptive re-organization to dynamically adapt to the operational environment. A complex dynamical system of interacting compone...
Abhishek Srivastav, Asok Ray
GLOBECOM
2010
IEEE
15 years 4 months ago
Optimal Bandwidth Allocation with Dynamic Service Selection in Heterogeneous Wireless Networks
Bandwidth allocation for different service classes in heterogeneous wireless networks is an important issue for service provider in terms of balancing service quality and profit. I...
Kun Zhu, Dusit Niyato, Ping Wang