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ECAI
2004
Springer
15 years 3 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
FM
2009
Springer
15 years 2 months ago
2009
Springer
The problem of enforcing bounded-time 2-phase recovery in real-time programs is often necessitated by conflict between faulttolerance requirements and timing constraints. In this ...
SIGGRAPH
2010
ACM
15 years 2 months ago
2010
ACM
We present a method for real-time sound propagation that captures all wave effects, including diffraction and reverberation, for multiple moving sources and a moving listener in a...
NIPS
2007
14 years 11 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
AAAI
1998
14 years 11 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...