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...
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...
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...
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...
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 ...