Empirical testing is a very popular evaluation method for the development of intelligent systems. Here, previously solved problems with correct solutions are given as cases to the...
In complex human-machine systems, the human operator is often required to intervene to detect and solve problems. Given this increased reliance on the human in these critical human...
Brian F. Gore, Becky L. Hooey, Christopher D. Wick...
This paper introduces a Self-Similarity Matrix (SSM) based video copy detection scheme and a Visual Character-String (VCS) descriptor for SSM matching. SSM, which exploits the spa...
Significant increase in collected data for investigative tasks and the increased complexity of the reasoning process itself have made investigative analytical tasks more challengi...
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...