513 citations · 1.8k across the 73 of their papers we have counts for
4 papers · 1 filter
Hashing on Nonlinear Manifolds
Fumin Shen, Chunhua Shen, Qinfeng Shi +3
Learning based hashing methods have attracted considerable attention due to their ability to greatly increase the scale at which existing algorithms may operate. Most of these meth…
Worst-Case Linear Discriminant Analysis as Scalable Semidefinite Feasibility Problems
Hui Li, Chunhua Shen, Anton van den Hengel +1
In this paper, we propose an efficient semidefinite programming (SDP) approach to worst-case linear discriminant analysis (WLDA). Compared with the traditional LDA, WLDA considers…
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
Guosheng Lin, Chunhua Shen, Qinfeng Shi +2
Supervised hashing aims to map the original features to compact binary codes that are able to preserve label based similarity in the Hamming space. Non-linear hash functions have d…
A Hybrid Loss for Multiclass and Structured Prediction
Qinfeng Shi, Mark Reid, Tiberio Caetano +2
We propose a novel hybrid loss for multiclass and structured prediction problems that is a convex combination of a log loss for Conditional Random Fields (CRFs) and a multiclass hi…