Search Results for author:
Found 5 papers, 0 papers with code
Probabilistic Conflict Resolution in Hierarchical Hypothesis Spaces
Artificial intelligence applications such as industrial robotics, military surveillance, and hazardous environment clean-up, require situation understanding based on partial, uncertain, and ambiguous or erroneous evidence.
Utility-Based Control for Computer Vision
Parallel computation is available at several levels of processor capability.
Model-based Influence Diagrams for Machine Vision
We show an approach to automated control of machine vision systems based on incremental creation and evaluation of a particular family of influence diagrams that represent hypotheses of imagery interpretation and possible subsequent processing decisions.
Bayesian Inference in Model-Based Machine Vision
This is a preliminary version of visual interpretation integrating multiple sensors in SUCCESSOR, an intelligent, model-based vision system.
Bayesian Inference for Radar Imagery Based Surveillance
We are interested in creating an automated or semi-automated system with the capability of taking a set of radar imagery, collection parameters and a priori map and other tactical data, and producing likely interpretations of the possible military situations given the available evidence.
