60 search results - page 8 / 12 » Labelled Markov Processes as Generalised Stochastic Relation... |
CRV
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper we describe a technique to infer the topology and connectivity information of a network of cameras based on observed motion in the environment. While the technique c...
COMPLEX
2009
Springer
13 years 11 months ago
2009
Springer
The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. They induce the -machine which is a hidden...
CSL
2002
Springer
13 years 7 months ago
2002
Springer
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
MEMOCODE
2006
IEEE
14 years 1 months ago
2006
IEEE
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...