In this paper, we propose an energy functional to segment objects whose global shape is a priori known thanks to a statistical model. Our work aims at extending the variational ap...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
A novel state-space model of a multi-node supply chain is presented, controlled via local proportional inventory-replenishment policies. The model is driven by a stochastic sequen...
This paper presented our approach to developing the 3d model of A Famosa Faortress in Melaka, Malaysia. As the physical remnant of the fortress are minimal, a traditional 3D modell...
Mohd Izani, Alan Bridges, P. Grant, Aishah Abdul R...
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Traditionally, Markov models have not been successfully used for compression of signal data other than binary image data. Due to the fact that exact substring matches in non-binar...