6 citations · 10 across the 10 of their papers we have counts for
3 papers · 1 filter
Use of Bayesian Nonparametric methods for Estimating the Measurements in High Clutter
Bahman Moraffah, Christ Richmond, Raha Moraffah +1
Robust tracking of a target in a clutter environment is an important and challenging task. In recent years, the nearest neighbor methods and probabilistic data association filters…
Causal Adversarial Network for Learning Conditional and Interventional Distributions
Raha Moraffah, Bahman Moraffah, Mansooreh Karami +2
We propose a generative Causal Adversarial Network (CAN) for learning and sampling from conditional and interventional distributions. In contrast to the existing CausalGAN which re…
Bayesian nonparametric modeling for predicting dynamic dependencies in multiple object tracking
Bahman Moraffah, Antonia Papndreou-Suppopola
Some challenging problems in tracking multiple objects include the time-dependent cardinality, unordered measurements and object parameter labeling. In this paper, we employ Bayesi…