34 citations · 77 across the 16 of their papers we have counts for
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cs.CV2017
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference
Fujiao Ju, Yanfeng Sun, Junbin Gao +2
Dimensionality reduction for high-order tensors is a challenging problem. In conventional approaches, higher order tensors are `vectorized` via Tucker decomposition to obtain lower…
cs.CV2017
Localized LRR on Grassmann Manifolds: An Extrinsic View
Boyue Wang, Yongli Hu, Junbin Gao +2
Subspace data representation has recently become a common practice in many computer vision tasks. It demands generalizing classical machine learning algorithms for subspace data. L…
cs.CV2017★ 1 cited
Locality Preserving Projections for Grassmann manifold
Boyue Wang, Yongli Hu, Junbin Gao +3
Learning on Grassmann manifold has become popular in many computer vision tasks, with the strong capability to extract discriminative information for imagesets and videos. However,…