This work proposes a graph mining based approach to mine a taxonomy of events from activities for complex videos which are represented in terms of qualitative spatio-temporal relat...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
We have explored using neurophysiologic patterns as an approach for developing a deeper understanding of how teams collaborate when solving time-critical, complex real-world proble...
Ronald H. Stevens, Trysha Galloway, Chris Berka, M...
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
Conventional similarity metrics used to sustain diversity in evolving populations are not well suited to sequential decision tasks. Genotypes and phenotypic structure are poor pre...
In this work we explore how the complexity of a problem domain affects the performance of evolutionary search using a performance-based restart policy. Previous research indicates...