KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #developer-tools #ai-agent #claude-code #codex #typescript #ai-agents #deepseek-harness #mcp #cli #rust

Adaptive-Collaborative-Similarity-Learning-for-Unsupervised-Multi-view-Feature-Selection

★ 59 Open GitHub ↗

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection IJCAI2018

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

ACSL
===

Adaptive-Collaborative-Similarity-Learning-for-Unsupervised-Multi-view-Feature-Selection

Created by Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng

The details can be found in the [IJCAI 2018 paper](https://www.researchgate.net/publication/332669714_Adaptive_Collaborative_Similarity_Learning_for_Unsupervised_Multi-view_Feature_Selection)

Prerequisites
-------------
1. MATLAB
2. Datasets.

Download dataset and put it into the data folder.
        run main.m.

Resources
---------
We supply outdoor_scene dataset. You can download it by following links:

Outdoor-Scene dataset: https://pan.baidu.com/s/1A1J92aOf7wRY8Q_7P5oidA   Extracted code：ce13

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

@conference{ACSL,
      author    = {Xiao Dong and Lei Zhu and Xuemeng Song and Jingjing Li and Zhiyong Cheng},        
      title     = {Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection},        
      booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
                   Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm, Sweden.},               
      pages     = {2064--2070},  
      year      = {2018}
    }

Adaptive-Collaborative-Similarity-Learning-for-Unsupervised-Multi-view-Feature-Selection

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README