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Conditional feature sensitivity: a unifying view on active recognition and feature selection
2003
Proceedings Ninth IEEE International Conference on Computer Vision
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recognition. However, existing work largely overlooked feature interaction issues. Feature selection, on the other hand, focuses on the selection of a subset of measurements for a given classification task, but is not context sensitive (i.e., the decision does not depend on the current input). This paper proposes a unified perspective
doi:10.1109/iccv.2003.1238668
dblp:conf/iccv/ZhouCK03
fatcat:pqyppjqljzafngt7zpy5u3glvu