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20132017
most citedOptimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function

55 citations · 79 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV2017★ 5 cited

A novel image tag completion method based on convolutional neural network

Yanyan Geng, Guohui Zhang, Weizhi Li +7

In the problems of image retrieval and annotation, complete textual tag lists of images play critical roles. However, in real-world applications, the image tags are usually incompl…

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.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…

cs.LG2015

Regularized maximum correntropy machine

Jim Jing-Yan Wang, Yunji Wang, Bing-Yi Jing +1

In this paper we investigate the usage of regularized correntropy framework for learning of classifiers from noisy labels. The class label predictors learned by minimizing transiti…

cs.LG2015

Multi-view learning for multivariate performance measures optimization

Jim Jing-Yan Wang

In this paper, we propose the problem of optimizing multivariate performance measures from multi-view data, and an effective method to solve it. This problem has two features: the…

cs.LG2014★ 2 cited

Learning manifold to regularize nonnegative matrix factorization

Jim Jing-Yan Wang, Xin Gao

Inthischapterwediscusshowtolearnanoptimalmanifoldpresentationto regularize nonegative matrix factorization (NMF) for data representation problems. NMF,whichtriestorepresentanonnega…