3 papers
A Fully Bayesian Infinite Generative Model for Dynamic Texture Segmentation
Sahar Yousefi, M. T. Manzuri Shalmani, Antoni B. Chan
Generative dynamic texture models (GDTMs) are widely used for dynamic texture (DT) segmentation in the video sequences. GDTMs represent DTs as a set of linear dynamical systems (LD…
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints
Mostafa Tavassolipour, Seyed Abolfazl Motahari, Mohammad-Taghi Manzuri Shalmani
In this paper, learning of tree-structured Gaussian graphical models from distributed data is addressed. In our model, samples are stored in a set of distributed machines where eac…
Learning of Gaussian Processes in Distributed and Communication Limited Systems
Mostafa Tavassolipour, Seyed Abolfazl Motahari, Mohammad-Taghi Manzuri Shalmani
It is of fundamental importance to find algorithms obtaining optimal performance for learning of statistical models in distributed and communication limited systems. Aiming at char…