Naturally constrained reject option classification
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DOI: 10.1007/s00138-024-01620-5
Abstract: Existing Reject Option Classification formulations typically learn a function (e.g., softmax threshold) to select/reject uncertain classifier predictions. Such approaches leverage a user-defined cost of rejection or constraints on the accuracy or coverage of the selected… read more here.
Keywords: classification; reject option; naturally constrained; option classification ... See more keywords
Multi-Object Classification via Crowdsourcing With a Reject Option
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DOI: 10.1109/tsp.2016.2630038
Abstract: Consider designing an effective crowdsourcing system for M-ary classification where crowd workers complete simple binary microtasks, which are aggregated to give the final result. We consider the novel scenario where workers have a reject option,… read more here.
Keywords: classification; greedy workers; reject option; object classification ... See more keywords