A successful industrial application of a novel type biomass estimator based on Genetic Programming (GP) is described in the paper. The biomass is inferred from other available meas...
Arthur K. Kordon, Elsa Jordaan, Lawrence Chew, Gui...
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
In this paper, from the viewpoint of scene understanding, a 3-layer Bayesian hierarchical framework (BHF) is proposed for robust vacant parking space detection. In practice, the ch...
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...
We describe an approach to presenting information in spoken dialogues that for the first time brings together multi-attribute decision models, strategic content planning, state-of...
Johanna D. Moore, Mary Ellen Foster, Oliver Lemon,...