Showing results 56 to 75 of 166
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| Issue Date | Title | Author(s) |
| 2015-06-01 | Generalized multiple kernel learning with data-dependent priors | Mao, Q; Tsang, IW; Gao, S; Wang, L |
| 2020-07-01 | Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications | Liu, W; Shen, X; Ong, YS; Tsang, IW; Gong, C; Pavlovic, V |
| 2012-12-01 | Handling ambiguity via Input-Output Kernel Learning | Xu, X; Tsang, IW; Xu, D |
| 2014-01-01 | Heterogeneous domain adaptation for multiple classes | Zhout, JT; Tsang, IW; Pan, SJ; Tan, M |
| 2011-09-29 | Hierarchical maximum margin learning for multi-class classification | Yang, JB; Tsang, IW |
| 2018-07-19 | High-order proximity preserving information network hashing | Lian, D; Zheng, K; Cao, L; Zheng, VW; Tsang, IW; Ge, Y; Xie, X |
| 2019-01-01 | How does disagreement help generalization against label corruption? | Yu, X; Han, B; Yao, J; Niu, G; Tsang, IW; Sugiyama, M |
| 2014-01-01 | Hybrid heterogeneous transfer learning through deep learning | Zhou, JT; Pan, SJ; Tsang, IW; Yan, Y |
| 2011-08-01 | A hybrid PSO-BFGS strategy for global optimization of multimodal functions | Li, S; Tan, M; Tsang, IW; Kwok, JTY |
| 2019-02-01 | Hyperspectral imagery classification via stochastic HHSVMs | Liu, W; Shen, X; Du, B; Tsang, IW; Zhang, W; Lin, X |
| 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 |
