Issue Date | Title | Author(s) |
2018-10-01 | Progressive Stochastic Learning for Noisy Labels | Han, B; Tsang, IW; Chen, L; Yu, CP; Fung, SF |
2013-06-01 | Convex and scalable weakly labeled SVMs | Li, YF; Tsang, IW; Kwok, JT; Zhou, ZH |
2018-09-01 | Stagewise learning for noisy k-ary preferences | Pan, Y; Han, B; Tsang, IW |
2009-01-01 | Spectral embedded clustering | Nie, F; Xu, D; Tsang, IW; Zhang, C |
2019-02-01 | Metric Learning for Multi-Output Tasks | Liu, W; Xu, D; Tsang, IW; Zhang, W |
2014-01-01 | Event detection using multi-level relevance labels and multiple features | Xu, Z; Tsang, IW; Yang, Y; Ma, Z; Hauptmann, AG |
2016-01-01 | On the convergence of a family of robust losses for stochastic gradient descent | Han, B; Tsang, IW; Chen, L |
2011-11-01 | Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering | Nie, F; Zeng, Z; Tsang, IW; Xu, D; Zhang, C |
2019-05-15 | N-ary decomposition for multi-class classification | Zhou, JT; Tsang, IW; Ho, SS; Müller, KR |
2015-06-01 | Large margin metric learning for multi-label prediction | Liu, W; Tsang, IW |