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| Linear Statistics of Random Matrix Ensembles at the Spectrum Edge Associated with the Airy Kernel Journal article
arXiv, 2019
Authors: Chao Min; Yang Chen
  Favorite | View/Download：11/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/07/22
Random Matrix Ensembles Linear Statistics Moment-generating Function Airy Kernel Mean And Variance Asymptotics |
| KARL: Fast Kernel Aggregation Queries Conference paper
Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), Macao, 2019
Authors: Tsz Nam Chan; Man Lung Yiu; Leong Hou U
Favorite | View/Download：14/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/07/24 |
| Multiple Kernel Fuzzy Clustering with Unsupervised Random Forests Kernel and Matrix-Induced Regularization Journal article
IEEE Access, 2019,Volume: 7,Page: 3967-3979
Authors: Zhao Y.-P.; Chen L.; Gan M.; Philip Chen C.L.
Favorite | View/Download：22/0 | TC[WOS]:4 TC[Scopus]:4 | Submit date：2019/02/13
Fuzzy clustering multiple kernel regularization unsupervised random forests |
| Analyzing complexity and fractality of glucose dynamics in a pregnant woman with type 2 diabetes under treatment Journal article
International Journal of Biological Sciences, 2019,Volume: 15,Issue: 11,Page: 2373-2380
Authors: Chen X.; Wang D.; Lin J.; Zhang T.; Deng S.; Huang L.; Jin Y.; Chen C.; Zhang Z.; Zheng J.; Sun B.; Bogdan P.; Zhang X.D.
 Adobe PDF | Favorite | View/Download：3/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/03/03
Complexity analysis Continuous glucose monitoring Fractal analysis Multiscale sample entropy Type 2 diabetes with pregnancy |
| Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors: Li, Jinxing; Zhang, Bob; Zhang, David
Favorite | View/Download：18/0 | TC[WOS]:3 TC[Scopus]:9 | Submit date：2018/10/30
Autoencoder discriminative Gaussian process (GP) kernel latent variable model multiview |
| Kernel-based sparse regression with the correntropy-induced loss Journal article
APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, 2018,Volume: 44,Issue: 1,Page: 144-164
Authors: Chen, Hong; Wang, Yulong
Favorite | View/Download：23/0 | TC[WOS]:9 TC[Scopus]:11 | Submit date：2018/10/30
Learning theory Kernel-based regression Correntropy-induced loss Sparsity Learning rate |
| Kernel normalized mixed-norm algorithm for system identification Conference paper
Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, 12-17 July 2015
Authors: Shujian Yu; Xinge You; Kexin Zhao; Weihua Ou; Yuanyan Tang
Favorite | View/Download：16/0 | TC[WOS]:0 TC[Scopus]:10 | Submit date：2019/02/11
Adaptation Models Noise |
| Video object tracking using interactive segmentation and superpixel based Gaussian kernel Conference paper
Proceedings of the International Conference on Information Visualisation, Barcelona, SPAIN, JUL 22-24, 2015
Authors: Huang G.; Pun C.-M.; Lin C.
Favorite | View/Download：8/0 | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/14
Gaussian Kernel Interactive Segmentation Non-rigid Object Tracking Superpixel |
| Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2015,Volume: 53,Issue: 5,Page: 2467 - 2480
Authors: Yuan Yan Tang; Yang Lu; Haoliang Yuan
Favorite | View/Download：17/0 | TC[WOS]:51 TC[Scopus]:58 | Submit date：2018/10/30
3-d Scattering Wavelet Transform 3-d Spatial Filtering Classification Hyperspectral Image (Hsi) Spectral-spatial |
| Non-rigid visual object tracking using user-defined marker and Gaussian kernel Journal article
Multimedia Tools and Applications, 2015,Volume: 75,Issue: 10,Page: 5473-5492
Authors: Huang G.; Pun C.-M.; Lin C.; Zhou Y.
Favorite | View/Download：8/0 | TC[WOS]:4 TC[Scopus]:4 | Submit date：2018/12/21
Gaussian Kernel Interactive Segmentation Non-rigid Object Tracking Superpixel |
