most citedOptimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function

55 citations · 111 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2016★ 3 cited

Stochastic Learning of Multi-Instance Dictionary for Earth Mover's Distance based Histogram Comparison

Jihong Fan, Ru-Ze Liang

Dictionary plays an important role in multi-instance data representation. It maps bags of instances to histograms. Earth mover's distance (EMD) is the most effective histogram dist…

cs.CV2016★ 41 cited

Learning convolutional neural network to maximize Pos@Top performance measure

Yanyan Geng, Ru-Ze Liang, Weizhi Li +4

In the machine learning problems, the performance measure is used to evaluate the machine learning models. Recently, the number positive data points ranked at the top positions (Po…

cs.LG2016★ 11 cited

A novel transfer learning method based on common space mapping and weighted domain matching

Ru-Ze Liang, Wei Xie, Weizhi Li +3

In this paper, we propose a novel learning framework for the problem of domain transfer learning. We map the data of two domains to one single common space, and learn a classifier…

cs.LG2016★ 1 cited

Semi-supervised structured output prediction by local linear regression and sub-gradient descent

Ru-Ze Liang, Wei Xie, Weizhi Li +3

We propose a novel semi-supervised structured output prediction method based on local linear regression in this paper. The existing semi-supervise structured output prediction meth…

cs.CV2016★ 55 cited

Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function

Ru-Ze Liang, Lihui Shi, Haoxiang Wang +4

In this paper we study the problem of content-based image retrieval. In this problem, the most popular performance measure is the top precision measure, and the most important comp…