3 citations · 4 across the 6 of their papers we have counts for
6 papers
Weakly Supervised Regression with Interval Targets
Xin Cheng, Yuzhou Cao, Ximing Li +2
This paper investigates an interesting weakly supervised regression setting called regression with interval targets (RIT). Although some of the previous methods on relevant regress…
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
Ximing Li, Chendi Wang, Guang Cheng
Marginal-based methods achieve promising performance in the synthetic data competition hosted by the National Institute of Standards and Technology (NIST). To deal with high-dimens…
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li, Yuanzhi Jiang, Changchun Li +2
Partial Label (PL) learning refers to the task of learning from the partially labeled data, where each training instance is ambiguously equipped with a set of candidate labels but…
Light Weight Color Image Warping with Inter-Channel Information
Chuangye Zhang, Yan Niu, Tieru Wu +1
Image warping is a necessary step in many multimedia applications such as texture mapping, image-based rendering, panorama stitching, image resizing and optical flow computation et…
Topic representation: finding more representative words in topic models
Jinjin Chi, Jihong Ouyang, Changchun Li +3
The top word list, i.e., the top-M words with highest marginal probability in a given topic, is the standard topic representation in topic models. Most of recent automatical topic…
A salt and pepper noise image denoising method based on the generative classification
Bo Fu, Xiao-Yang Zhao, Yong-Gong Ren +2
In this paper, an image denoising algorithm is proposed for salt and pepper noise. First, a generative model is built on a patch as a basic unit and then the algorithm locates the…