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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
Material Type: Article
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Integrated Low-Rank-Based Discriminative Feature Learning for RecognitionZhou, Pan ; Lin, Zhouchen ; Zhang, ChaoIEEE transaction on neural networks and learning systems, 2016-05, Vol.27 (5), p.1080-1093United States: IEEEFull text available |
| 2 |
Material Type: Article
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A Novel Optimal Robust Adaptive Scheme for Accurate GNSS RTK/INS Tightly Coupled Integration in Urban EnvironmentsWu, Jiaji ; Jiang, Jinguang ; Zhang, Chao ; Li, Yuying ; Yan, Peihui ; Meng, XiaoliangRemote sensing (Basel, Switzerland), 2023-08, Vol.15 (15), p.3725 [Peer Reviewed Journal]Basel: MDPI AGFull text available |
| 3 |
Material Type: Article
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Engineering Deep Representations for Modeling Aesthetic PerceptionChen, Yanxiang ; Hu, Yuxing ; Zhang, Luming ; Li, Ping ; Zhang, ChaoIEEE transactions on cybernetics, 2018-11, Vol.48 (11), p.3092-3104 [Peer Reviewed Journal]United States: IEEEFull text available |
| 4 |
Material Type: Article
|
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Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov ChainsZhang, Chao ; Tao, DachengIEEE transaction on neural networks and learning systems, 2012-12, Vol.23 (12), p.1872-1883New York, NY: IEEEFull text available |
| 5 |
Material Type: Article
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Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function ClassesZhang, Chao ; Bian, Wei ; Tao, Dacheng ; Lin, WeisiIEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1461-1472New York, NY: IEEEFull text available |
| 6 |
Material Type: Article
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Structure of Indicator Function Classes With Finite Vapnik-Chervonenkis DimensionsZhang, Chao ; Tao, DachengIEEE transaction on neural networks and learning systems, 2013-07, Vol.24 (7), p.1156-1160New York, NY: IEEEFull text available |
| 7 |
Material Type: Article
|
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Bilinear Analysis for Kernel Selection and Nonlinear Feature ExtractionYang, Shu ; Yan, Shuicheng ; Zhang, Chao ; Tang, XiaoouIEEE transactions on neural networks, 2007-09, Vol.18 (5), p.1442-1452New York, NY: IEEEFull text available |
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