1023 search results - page 134 / 205 » Graph model selection using maximum likelihood |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
ISTA
2007
13 years 11 months ago
2007
: The present work is devoted to the research of investment projects’ financing issues. Within this paper a data analytical tool for an optimal financing schema computation on th...
NN
1997
Springer
14 years 2 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
APPML
2007
13 years 10 months ago
2007
It is shown that every planar graph with no separating triangles is a subgraph of a Hamiltonian planar graph; that is, Whitney’s theorem holds without the assumption of a triang...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...