This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
The Hausdorff distance is a measure defined between two point sets, here representing a model and an image. The Hausdorff distance is reliable even when the image contains multipl...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
Background: While the C. elegans genome is extensively annotated, relatively little information is available for other Caenorhabditis species. The nematode genome annotation asses...
Avril Coghlan, Tristan J. Fiedler, Sheldon J. McKa...
Embedded systems technologies and advances in micro electronics have accelerated the evolution of driver assistance systems towards more driving safety, comfort, entertainment and...