Optimizing Ranking Measures for Compact Binary Code Learning

Abstract

Hashing has proven a valuable tool for large-scale information retrieval. Despite much success, existing hashing methods optimize over simple objectives such as the reconstruction error or graph Laplacian related loss functions, instead of the performance evaluation criteria of interest—multivariate performance measures such as the AUC and NDCG. Here we… (More)
DOI: 10.1007/978-3-319-10578-9_40

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