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20192023
most citedKernelized Multiview Subspace Analysis by Self-weighted Learning

106 citations · 235 across the 25 of their papers we have counts for

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Showing 2019Show all

14 papers · 1 filter

cs.LG2019★ 4 cited

Deep Self-representative Concept Factorization Network for Representation Learning

Yan Zhang, Zhao Zhang, Zheng Zhang +4

In this paper, we investigate the unsupervised deep representation learning issue and technically propose a novel framework called Deep Self-representative Concept Factorization Ne…

cs.LG2019★ 1 cited

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space

Jiahuan Ren, Zhao Zhang, Sheng Li +4

In this paper, we investigate the robust dictionary learning (DL) to discover the hybrid salient low-rank and sparse representation in a factorized compressed space. A Joint Robust…

cs.CV2019★ 3 cited

Compressed DenseNet for Lightweight Character Recognition

Zhao Zhang, Zemin Tang, Yang Wang +3

Convolutional Recurrent Neural Network (CRNN) is a popular network for recognizing texts in images. Advances like the variant of CRNN, such as Dense Convolutional Network with Conn…

cs.CV2019★ 23 cited

DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking

Yanyan Wei, Zhao Zhang, Yang Wang +4

Single image deraining (SID) is an important and challenging topic in emerging vision applications, and most of emerged deraining methods are supervised relying on the ground truth…

cs.CV2019★ 3 cited

Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning

Yulin Sun, Zhao Zhang, Weiming Jiang +4

In this paper, we propose a structured Robust Adaptive Dic-tionary Pair Learning (RA-DPL) framework for the discrim-inative sparse representation learning. To achieve powerful repr…

cs.LG2019★ 2 cited

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification

Huan Zhang, Zhao Zhang, Mingbo Zhao +3

The graph-based semi-supervised label propagation algorithm has delivered impressive classification results. However, the estimated soft labels typically contain mixed signs and no…