Showing results 66 to 85 of 166
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| Issue Date | Title | Author(s) |
| 2020-04-01 | I/O efficient approximate nearest neighbour search based on learned functions | Li, M; Zhang, Y; Sun, Y; Wang, W; Tsang, IW; Lin, X |
| 2022-10-24 | Imitation Learning: Progress, Taxonomies and Challenges. | Zheng, B; Verma, S; Zhou, J; Tsang, IW; Chen, F |
| 2008-11-26 | Improved Nyström low-rank approximation and error analysis | Zhang, K; Tsang, IW; Kwok, JT |
| 2020-02 | Improving Generalization via Attribute Selection on Out-of-the-Box Data. | Xu, X; Tsang, IW; Liu, C |
| 2010-10-01 | Incorporating the loss function into discriminative clustering of structured outputs | Zhong, W; Pan, W; Kwok, JT; Tsang, IW |
| 2017-01-31 | Inferring latent network from cascade data for dynamic social recommendation | Zhang, Q; Wu, J; Zhang, P; Long, G; Tsang, IW; Zhang, C |
| 2011-12-01 | Infinite decision agent ensemble learning system for credit risk analysis | Li, S; Tsang, IW; Chaudhari, NS |
| 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 |
| 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 |
