180 search results - page 18 / 36 » Variational Inference for Diffusion Processes |
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
Due to its static nature, the inference capability of Bayesian Networks (BNs) often deteriorates when the basis of input data varies, especially in video processing applications w...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
WABI
2007
Springer
14 years 1 months ago
2007
Springer
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
IBPRIA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents a method to decompose a field of surface normals (needle-map). A diffusion process is used to model the flow of height information induced by a fi...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Conventional methods for rotation angle estimation are not very robust to variations in object shape or intensity. However in real object recognition scenarios like in underwater ...