539 citations · 2k across the 53 of their papers we have counts for
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cs.LG2019
Neural Random Subspace
Yun-Hao Cao, Jianxin Wu, Hanchen Wang +1
The random subspace method, known as the pillar of random forests, is good at making precise and robust predictions. However, there is not a straightforward way yet to combine it w…
cs.LG2016
Structured Learning of Binary Codes with Column Generation
Guosheng Lin, Fayao Liu, Chunhua Shen +2
Hashing methods aim to learn a set of hash functions which map the original features to compact binary codes with similarity preserving in the Hamming space. Hashing has proven a v…
cs.LG2014★ 6 cited
Optimizing Ranking Measures for Compact Binary Code Learning
Guosheng Lin, Chunhua Shen, Jianxin Wu
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…