Showing results 257 to 276 of 616
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| Issue Date | Title | Author(s) |
| 2017-06-01 | Label Propagation via Teaching-to-Learn and Learning-to-Teach | Gong, C; Tao, D; Liu, W; Liu, L; Yang, J |
| 2012-07-27 | Labelset anchored subspace ensemble (LASE) for multi-label annotation | Zhou, T; Tao, D |
| 2017-04-26 | LAM<sup>3</sup>L: Locally adaptive maximum margin metric learning for visual data classification | Dong, Y; Du, B; Zhang, L; Tao, D |
| 2016-01-01 | Large margin multi-modal multi-task feature extraction for image classification | Luo, Y; Wen, Y; Tao, D; Gui, J; Xu, C |
| 2017-04-01 | Large sparse cone non-negative matrix factorization for image annotation | Tao, D; Li, X; Gao, X |
| 2017-09-01 | Large-Cone Nonnegative Matrix Factorization | Liu, T; Gong, M; Tao, D |
| 2019-11-01 | Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning | Gong, C; Liu, T; Yang, J; Tao, D |
| 2014-01-01 | Large-margin multi-vewInformation bottleneck | Xu, C; Tao, D |
| 2013-09-16 | Large-margin multi-view Gaussian process for image classification | Xu, C; Tao, D; Li, Y |
| 2014-01-01 | Large-margin weakly supervised dimensionality reduction | Xu, C; Tao, D; Rui, Y |
| 2021-12-01 | Learnability of Quantum Neural Networks | Du, Y; Hsieh, MH; Liu, T; You, S; Tao, D |
| 2011-12-01 | Learning a distance metric by empirical loss minimization | Bian, W; Tao, D |
| 2020 | Learning a mixture of granularity-specific experts for fine-grained categorization | Zhang, L; Huang, S; Liu, W; Tao, D |
| 2020 | Learning a mixture of granularity-specific experts for fine-grained categorization | Zhang, L; Huang, S; Liu, W; Tao, D |
| 2020 | Learning a mixture of granularity-specific experts for fine-grained categorization | Zhang, L; Huang, S; Liu, W; Tao, D |
| 2018-04-01 | Learning a No-Reference Quality Assessment Model of Enhanced Images with Big Data | Gu, K; Tao, D; Qiao, JF; Lin, W |
| 2011-12-23 | Learning colours from textures by sparse manifold embedding | Li, J; Bian, W; Tao, D; Zhang, C |
| 2013-01-01 | Learning colours from textures by sparse manifold embedding | Li, J; Bian, W; Tao, D; Zhang, C |
| 2016-01-01 | Learning common and specific features for RGB-D semantic segmentation with deconvolutional networks | Wang, J; Wang, Z; Tao, D; See, S; Wang, G |
| 2017-08-13 | Learning from multiple teacher networks | You, S; Xu, C; Tao, D |
