most citedFast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity

272 citations

8 papers

cs.LG2022★ 203 cited

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

Si-Guo Fang, Dong Huang, Xiao-Sha Cai +3

Although previous graph-based multi-view clustering algorithms have gained significant progress, most of them are still faced with three limitations. First, they often suffer from…

cs.NE2022★ 21 cited

SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks

Jianxiong Tang, Jianhuang Lai, Xiaohua Xie +2

Spiking neural networks are efficient computation models for low-power environments. Spike-based BP algorithms and ANN-to-SNN (ANN2SNN) conversions are successful techniques for SN…

quant-ph2022★ 31 cited

Distributed quantum algorithm for Simon's problem

Jiawei Tan, Ligang Xiao, Daowen Qiu +2

Limited by today's physical devices, quantum circuits are usually noisy and difficult to be designed deeply. The novel computing architecture of distributed quantum computing is ex…

cs.CV2022★ 6 cited

Cross-Camera Trajectories Help Person Retrieval in a Camera Network

Xin Zhang, Xiaohua Xie, Jianhuang Lai +1

We are concerned with retrieving a query person from multiple videos captured by a non-overlapping camera network. Existing methods often rely on purely visual matching or consider…

cs.CV2022★ 193 cited

Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation

Qi Chen, Lingxiao Yang, Jianhuang Lai +1

Weakly Supervised Semantic Segmentation (WSSS) based on image-level labels has attracted much attention due to low annotation costs. Existing methods often rely on Class Activation…

cs.LG2022★ 272 cited

Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity

Dong Huang, Chang-Dong Wang, Jian-Huang Lai

Despite significant progress, there remain three limitations to the previous multi-view clustering algorithms. First, they often suffer from high computational complexity, restrict…