Publications (36)
Collaborative Low-Rank Subspace Clustering
Stephen Tierney, Yi Guo, Junbin Gao
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
Ming Yin, Yi Guo, Junbin Gao +2
DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets
Darren Yates, Md Zahidul Islam, Junbin Gao
Locality Preserving Projections for Grassmann manifold
Boyue Wang, Yongli Hu, Junbin Gao +3
Matrix Variate RBM Model with Gaussian Distributions
Simeng Liu, Yanfeng Sun, Yongli Hu +2
Low-Rank Representation over the Manifold of Curves
Stephen Tierney, Junbin Gao, Yi Guo +1
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds
Boyue Wang, Yongli Hu, Junbin Gao +2
Tractable Clustering of Data on the Curve Manifold
Stephen Tierney, Junbin Gao, Yi Guo +1
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective
Boyue Wang, Yongli Hu, Junbin Gao +2
Kernelized Low Rank Representation on Grassmann Manifolds
Boyue Wang, Yongli Hu, Junbin Gao +2
Low-rank Multi-view Clustering in Third-Order Tensor Space
Ming Yin, Junbin Gao, Shengli Xie +1
l1-norm Penalized Orthogonal Forward Regression
Xia Hong, Sheng Chen, Yi Guo +1
Shared Generative Latent Representation Learning for Multi-view Clustering
Ming Yin, Weitian Huang, Junbin Gao
Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition
Xinglin Piao, Yongli Hu, Yanfeng Sun +2
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis
Fujiao Ju, Yanfeng Sun, Junbin Gao +2
Matrix Variate RBM and Its Applications
Guanglei Qi, Yanfeng Sun, Junbin Gao +2
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification
Lin Wu, Yang Wang, Junbin Gao +1
Low Rank Representation on Riemannian Manifold of Square Root Densities
Yifan Fu, Junbin Gao, Xia Hong +1
What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification
Lin Wu, Yang Wang, Xue Li +1
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Lin Wu, Yang Wang, Junbin Gao +1
Localized LRR on Grassmann Manifolds: An Extrinsic View
Boyue Wang, Yongli Hu, Junbin Gao +2
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference
Fujiao Ju, Yanfeng Sun, Junbin Gao +2
Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering
Stephen Tierney, Yi Guo, Junbin Gao
Segmentation of Subspaces in Sequential Data
Stephen Tierney, Yi Guo, Junbin Gao
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem
Yanfei Zhang, Junbin Gao
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis
Mingyuan Bai, Boyan Zhang, Junbin Gao
Tensor Sparse and Low-Rank based Submodule Clustering Method for Multi-way Data
Xinglin Piao, Yongli Hu, Junbin Gao +3
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Haoran Chen, Yanfeng Sun, Junbin Gao +2
Relations among Some Low Rank Subspace Recovery Models
Hongyang Zhang, Zhouchen Lin, Chao Zhang +1
A Review for Weighted MinHash Algorithms
Wei Wu, Bin Li, Ling Chen +2
Matrix Neural Networks
Junbin Gao, Yi Guo, Zhiyong Wang
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification
Lin Wu, Yang Wang, Junbin Gao +1
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices
Ming Yin, Shengli Xie, Yi Guo +2
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance
Boyue Wang, Yongli Hu, Junbin Gao +2
Kernelized LRR on Grassmann Manifolds for Subspace Clustering
Boyue Wang, Yongli Hu, Junbin Gao +2
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Yanfeng Sun, Junbin Gao, Xia Hong +2