Showing results 73 to 92 of 168
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| Issue Date | Title | Author(s) |
| 2019-01-01 | Label Embedding with Partial Heterogeneous Contexts | Shi, Y; Xu, D; Pan, Y; Tsang, IW; Pan, S |
| 2022-01-01 | LADDER: Latent boundary-guided adversarial training | Zhou, X; Tsang, IW; Yin, J |
| 2012-12-01 | Laplacian embedded regression for scalable manifold regularization | Chen, L; Tsang, IW; Xu, D |
| 2015-06-01 | Large margin metric learning for multi-label prediction | Liu, W; Tsang, IW |
| 2020 | Large Margin Partial Label Machine. | Chai, J; Tsang, IW; Chen, W |
| 2019-01-01 | Late fusion via subspace search with consistency preservation | Dong, X; Yan, Y; Tan, M; Yang, Y; Tsang, IW |
| 2023-08 | Latent Class-Conditional Noise Model. | Yao, J; Han, B; Zhou, Z; Zhang, Y; Tsang, IW |
| 2022-01-01 | Latent Representation Guided Multi-view Clustering | Huang, S; Tsang, IW; Xu, Z; Lv, J |
| 2017-01-01 | Latent smooth skeleton embedding | Wang, L; Mao, Q; Tsang, IW |
| 2022-02 | Learning on Attribute-Missing Graphs. | Chen, X; Chen, S; Yao, J; Zheng, H; Zhang, Y; Tsang, IW |
| 2022-10-10 | Learning Smooth Representation for Multi-view Subspace Clustering | Huang, S; Liu, Y; Ren, Y; Tsang, IW; Xu, Z; Lv, J |
| 2016-01-01 | Learning sparse confidence-weighted classifier on very high dimensional data | Tan, M; Yan, Y; Wang, L; Van Den Hengel, A; Tsang, IW; Shi, Q |
| 2010-09-17 | Learning sparse SVM for feature selection on very high dimensional datasets | Tan, M; Wang, L; Tsang, IW |
| 2011-12-01 | Learning to locate relative outliers | Li, S; Tsang, IW |
| 2012-10-10 | Learning with augmented features for heterogeneous domain adaptation | Duan, L; Xu, D; Tsang, IW |
| 2014-01-01 | Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation | Li, W; Duan, L; Xu, D; Tsang, IW |
| 2022-05-06 | Learning With Label Proportions by Incorporating Unmarked Data. | Chai, J; Tsang, IW |
| 2016-09-15 | Learning word dependencies in text by means of a deep recurrent belief network | Chaturvedi, I; Ong, YS; Tsang, IW; Welsch, RE; Cambria, E |
| 2017-07-01 | Making decision trees feasible in ultrahigh feature and label dimensions | Liu, W; Tsang, IW |
| 2016-12-01 | Making Trillion Correlations Feasible in Feature Grouping and Selection | Zhai, Y; Ong, YS; Tsang, IW |
