Browsing byAuthorTsang, IW

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Issue DateTitleAuthor(s)
2023-01-01Sanitized clustering against confounding biasYao, Y; Pan, Y; Li, J; Tsang, IW; Yao, X
2018-01-01Sc2Net: Sparse LSTMs for sparse coding <sup>∗</sup>Zhou, JT; Di, K; Du, J; Peng, X; Yang, H; Pan, SJ; Tsang, IW; Liu, Y; Qin, Z; Goh, RSM
2020-01-01Secure Metric Learning via Differential Pairwise PrivacyLi, J; Pan, Y; Sui, Y; Tsang, IW
2021-01-01Shattering Distribution for Active Learning.Cao, X; Tsang, IW
2009-12-09SimpleNPKL: Simple non-parametric kernel learningZhuang, J; Tsang, IW; Hoi, SCH
2013-10-08Soft margin multiple kernel learningXu, X; Tsang, IW; Xu, D
2017-01-01Sparse embedded k-means clusteringLiu, W; Shen, X; Tsang, IW
2016-01-01Sparse perceptron decision tree for millions of dimensionsLiu, W; Tsang, IW
2009-01-01Spectral embedded clusteringNie, F; Xu, D; Tsang, IW; Zhang, C
2011-11-01Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clusteringNie, F; Zeng, Z; Tsang, IW; Xu, D; Zhang, C
2021-08-14ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series ForecastingDeng, J; Chen, X; Jiang, R; Song, X; Tsang, IW
2018-09-01Stagewise learning for noisy k-ary preferencesPan, Y; Han, B; Tsang, IW
2020-06-10Stochastic Multichannel Ranking with Brain Dynamics Preferences.Pan, Y; Tsang, IW; Singh, AK; Lin, C-T; Sugiyama, M
2019-01-01Support matching: A novel regularization to escape from mode collapse in GANsYao, Y; Pan, Y; Tsang, IW; Yao, X
2020Survey on Multi-Output Learning.Xu, D; Shi, Y; Tsang, IW; Ong, Y-S; Gong, C; Shen, X
2012-07-27Tag-based image retrieval improved by augmented features and group-based refinementChen, L; Xu, D; Tsang, IW; Luo, J
2010-08-31Tag-based web photo retrieval improved by batch mode re-taggingChen, L; Xu, D; Tsang, IW; Luo, J
2023-05-23Taming Overconfident Prediction on Unlabeled Data From Hindsight.Li, J; Pan, Y; Tsang, IW
2011-01-31Textual query of personal photos facilitated by large-scale web dataLiu, Y; Xu, D; Tsang, IW; Luo, J
2022-11The Emerging Trends of Multi-Label Learning.Liu, W; Wang, H; Shen, X; Tsang, IW