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» Gesture Modeling and Recognition Using Finite State Machines
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ASE
2006
123views more  ASE 2006»
14 years 12 months ago
Separating sequence overlap for automated test sequence generation
Finite state machines have been used to model a number of classes of system and there has thus been much interest in the automatic generation of test sequences from finite state m...
Robert M. Hierons
ICML
1999
IEEE
16 years 17 days ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
TASLP
2010
106views more  TASLP 2010»
14 years 6 months ago
Efficient and Robust Music Identification With Weighted Finite-State Transducers
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
AIHC
2007
Springer
15 years 6 months ago
Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal i...
Kostas Karpouzis, George Caridakis, Loïc Kess...
CASES
2006
ACM
15 years 3 months ago
State space reconfigurability: an implementation architecture for self modifying finite automata
Many embedded systems exhibit temporally and behaviorally disjoint behavior slices. When such behaviors are captured by state machines, the current design flow will capture it as ...
Ka-Ming Keung, Akhilesh Tyagi