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2003
IEEE

Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection

10 years 7 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
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 through conditional feature sensitivity analysis, taking into account both current context and feature interactions. Based on different representations of the contextual uncertainties, we present three treatment models and exploit their joint power for dealing with complex feature interactions. Synthetic examples are used to systematically test the validity of the proposed models. A practical application in medical domain is illustrated using an echocardiography database with more tha...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
Added 15 Oct 2009
Updated 15 Oct 2009
Type Conference
Year 2003
Where ICCV
Authors Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan
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