—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
In this paper, we present a novel technique for modeling the posterior probability estimates obtained from a neural network directly in the HMM framework using the Dirichlet Mixtu...
Balakrishnan Varadarajan, Garimella S. V. S. Sivar...
One of the typical features of distributed systems is the heterogeneity of its components (e.g. geographical spreading and different platform architectures), leading to interopera...
Tom Verdickt, Bart Dhoedt, Frank Gielen, Piet Deme...
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
This paper addresses the problem of compact representation of a 3D scene, captured by distributed omnidirectional cameras. As the images from the sensors are likely to be correlat...
Vijayaraghavan Thirumalai, Ivana Tosic, Pascal Fro...