Abstract-- While traffic volume of real-time applications is rapidly increasing, current routers do not guarantee minimum QoS values of fairness and they drop packets in random fas...
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Abstract— Channel estimation (CE) plays an important role in determining the achievable performance of coherently detected communications systems. In this paper, the impact of im...
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Abstract— Quantum mechanics and molecular dynamic simulation provide important insights into structural configurations and molecular interaction data today. To extend this atomi...
Preetam Ghosh, Samik Ghosh, Kalyan Basu, Sajal K. ...