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CVPR
1999
IEEE
14 years 9 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...
RTCSA
2003
IEEE
14 years 28 days ago
Deterministic and Statistical Deadline Guarantees for a Mixed Set of Periodic and Aperiodic Tasks
Current hard real-time technologies are unable to support a new class of applications that have real-time constraints but with dynamic request arrivals and unpredictable resource r...
Minsoo Ryu, Seongsoo Hong
TCSV
2008
161views more  TCSV 2008»
13 years 7 months ago
Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters
This paper describes a probabilistic framework for faithful reproduction of dynamic facial expressions on a synthetic face model with MPEG-4 facial animation parameters (FAPs) whil...
Yongmian Zhang, Qiang Ji, Zhiwei Zhu, Beifang Yi
PDP
2005
IEEE
14 years 1 months ago
Tuning Dynamic Web Applications using Fine-Grain Analysis
In this paper we present a methodology to analyze the behavior and performance of Java application servers using a performance analysis framework. This framework considers all lev...
Jordi Guitart, David Carrera, Jordi Torres, Eduard...
DSN
2007
IEEE
14 years 2 months ago
Dynamic Fault Tree Analysis Using Input/Output Interactive Markov Chains
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...