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tpami19_bmvc's Introduction

Binary Multi-View Clustering (BMVC)

This is a very simple implementation of our paper:

Binary Multi-View Clustering,

The details can be found in the TPAMI 2019 paper or TPAMI website.

This code has been evaluated on Matlab 2013a.

Resources:

We supply the Multi-view Caltech101 dataset, which can be downloaded from the baiduyun link.

Citation:

If you find our approach useful in your research, please consider citing:

Zheng Zhang, Li Liu, Fumin Shen and Heng Tao Shen and Ling Shao, ``Binary Multi-View Clustering," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 41, no. 7, pp. 1774 - 1782, 2019.

@article{zhang2019binary,  
  title={Binary multi-view clustering},  
  author={Zhang, Zheng and Liu, Li and Shen, Fumin and Shen, Heng Tao and Shao, Ling},  
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},  
  volume={41},  
  number={7},  
  pages={1774--1782},  
  year={2019},  
  publisher={IEEE}  
}

tpami19_bmvc's People

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tpami19_bmvc's Issues

About the visualization of learned representations

How to visualize the representation B by using t-SNE since it is binary defined.
I've tried it by using t-SNE, however the diagram is weird and irregular.

I'll appreciate it if you could give me some suggestions.

Categories of the NUS-WIDE-Object dataset

Your paper mentions that "NUS-WIDE-Obj is composed of 30,000 images from 31 classes," but the public website lists 81 labels and describes it as multi-label. Could you please clarify how you selected or categorized the classes? Thanks so much!

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