no code implementations • 20 Jun 2020 • Xi-Ming Li, Yang Wang
Partial Multi-label Learning (PML) aims to induce the multi-label predictor from datasets with noisy supervision, where each training instance is associated with several candidate labels but only partially valid.
no code implementations • 19 Dec 2018 • Chuangye Zhang, Yan Niu, Tieru Wu, Xi-Ming Li
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 etc.
no code implementations • 23 Oct 2018 • Jinjin Chi, Jihong Ouyang, Changchun Li, Xueyang Dong, Xi-Ming Li, Xinhua Wang
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.
no code implementations • COLING 2018 • Xi-Ming Li, Bo Yang
We empirically show that PL-DNB outperforms traditional dataless text classification algorithms with seed words.
no code implementations • 15 Jul 2018 • Bo Fu, Xiao-Yang Zhao, Yong-Gong Ren, Xi-Ming Li, Xiang-Hai Wang
In this paper, an image denoising algorithm is proposed for salt and pepper noise.
no code implementations • COLING 2016 • Xi-Ming Li, Jinjin Chi, Changchun Li, Jihong Ouyang, Bo Fu
Gaussian LDA integrates topic modeling with word embeddings by replacing discrete topic distribution over word types with multivariate Gaussian distribution on the embedding space.