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» A Framework for Network Modeling in Prolog
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CVPR
1999
IEEE
16 years 6 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
129
Voted
IJON
2008
156views more  IJON 2008»
15 years 4 months ago
Structural identifiability of generalized constraint neural network models for nonlinear regression
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
DMSN
2004
ACM
15 years 9 months ago
MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks
In this position paper, we present MEADOWS, a software framework that we are building at HKUST (The Hong Kong University of Science and Technology) for modeling, emulation, and an...
Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu, W...
CVPR
1999
IEEE
16 years 6 months ago
Vision-Based Speaker Detection Using Bayesian Networks
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
James M. Rehg, Kevin P. Murphy, Paul W. Fieguth
147
Voted
SECRYPT
2010
147views Business» more  SECRYPT 2010»
15 years 1 months ago
Security Models for Heterogeneous Networking
Security for Next Generation Networks (NGNs) is an attractive topic for many research groups. The Y-Comm security group believes that a new security approach is needed to address t...
Glenford E. Mapp, Mahdi Aiash, Aboubaker Lasebae, ...