Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection

arXiv:2405.05836v1 Announce Type: new
Abstract: Machine learning-based techniques open up many opportunities and improvements to derive deeper and more practical insights from data that can help businesses make informed decisions. However, the majority of these techniques focus on the conventional closed-set scenario, in which the label spaces for the training and test sets are identical. Open set recognition (OSR) aims to bring classification tasks in a situation that is more like reality, which focuses on classifying the known classes as …

abstract arxiv businesses cs.cv cs.lg data decision decisions detection focus however improvements insights machine machine learning making opportunities practical recognition sample set spaces through type