SM has shown a better performance than HMM in connected word recognition system; however, no reports we have read show that SM has been applied in LVCSR as decoding acoustic model ...
Abstract. The description of a single state of a modelled system is often complex in practice, but few procedures for synthesis address this problem in depth. We study systems in w...
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
In this paper, we propose a novel algorithm, named as Spatially Varying Transform (SVT). The basic idea of SVT is that we do not restrict the transform coding inside normal block b...
Cixun Zhang, Kemal Ugur, Jani Lainema, Moncef Gabb...
In this chapter we will introduce description logics, a family of logic-based knowledge representation languages that can be used to represent the terminological knowledge of an a...