36 search results - page 7 / 8 » Maximum Likelihood Estimation of a Stochastic Integrate-and-... |
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
Authors Address the problem of recognition and retrieval of relatively weak industrial signal such as Partial Discharges (PD) buried in excessive noise. The major bottleneck being...
NIPS
1998
14 years 11 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
ISCI
2007
14 years 9 months ago
2007
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
IJON
1998
14 years 9 months ago
1998
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...