1084 search results - page 3 / 217 » Hidden Markov Models with Multiple Observation Processes |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a novel, maximum likelihood framework for automatic spike-sorting based on a joint statistical model of action potential waveform shape and inter-spike interval duratio...
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
WSDM
2010
ACM
14 years 4 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
TASLP
2002
13 years 7 months ago
2002
The first stage in many pattern recognition tasks is to generate a good set of features from the observed data. Usually, only a single feature space is used. However, in some compl...