Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection

arXiv:2210.06891v3 Announce Type: replace
Abstract: This paper presents a data-driven, task-specific paradigm for experimental design, to shorten acquisition time, reduce costs, and accelerate the deployment of imaging devices. Current approaches in experimental design focus on model-parameter estimation and require specification of a particular model, whereas in imaging, other tasks may drive the design. Furthermore, such approaches often lead to intractable optimization problems in real-world imaging applications. Here we present a new paradigm for experimental design that simultaneously optimizes the design …

arxiv cs.ai cs.lg design experimental feature feature selection imaging q-bio.nc type via