This paper considers the problem of designing an active observer to plan a sequence of decisions regarding what target to look at, through a foveal-sensing action.
We then describe a multi-period version of the trading method, where optimization is used to plan a sequence of trades, with only the first one executed, using estimates of future quantities that are unknown when the trades are chosen.
We introduce a novel neural architecture for navigation in novel environments that learns a cognitive map from first person viewpoints and plans a sequence of actions towards goals in the environment.
In our domain, the goal is to plan a sequence of visual operators to apply on regions of interest (ROIs) in images of a scene, so that a human and a robot can jointly manipulate and converse about objects on a tabletop.
Route planning describes the process of reviewing internal (memory) and/or external (maps) information to plan a sequence of navigation actions from an origin to a destination.
When planning a sequencing project, the key parameters to consider are read length, whether you need single-end or paired-end reads, and the necessary depth of coverage.
Developing new molecular biology procedures and innovative ad-hoc bioinformatics approaches must be accounted for when planning a sequencing project on ancient DNA.
