Collaborative error reduction for hierarchical classification
Hierarchical classification is faced with the problem of error propagation. We propose to utilize the semantic relationship for reducing the errors. The method is extended to enable multiple branch selection using more relations. Joint utility of multiple relationships provides more reasonable branch selection. Our methods achieve a satisfactory balance between effectiveness and efficiency.
error propagation concept detection large-scale hierarchy