Shi-guang Yue

  • Citations Per Year
Learn More
Intention recognition (IR) is significant for creating humanlike and intellectual agents in simulation systems. Previous widely used probabilistic graphical methods such as hidden Markov models (HMMs) cannot handle unstructural data, so logical hidden Markov models (LHMMs) are proposed by combining HMMs and first order logic. Logical hidden semi-Markov(More)
Activity recognition is challenging and valuable in both real and virtual world. As important directed graphical models, hidden Markov models and their extensions are widely used to solve probabilistic activity recognition problems. In this paper, logical hidden semi-Markov models (LHSMMs) which combine logical hidden Markov models (LHMMs), a statistical(More)
  • 1