Results 171 to 180 of about 9,987 (195)

Joint Hypergraph Learning for Tag-Based Image Retrieval

IEEE Transactions on Image Processing, 2018
As the image sharing websites like Flickr become more and more popular, extensive scholars concentrate on tag-based image retrieval. It is one of the important ways to find images contributed by social users. In this research field, tag information and diverse visual features have been investigated.
Yaxiong Wang, Li Zhu, Xueming Qian, Junwei Han   +3 more
openaire   +2 more sources

Metric learning based on attribute hypergraph

2017 IEEE International Conference on Image Processing (ICIP), 2017
In this paper, we propose an improved attribute hypergraph learning framework and adapt it for metric learning. Under the attribute hypergraph, each image is abstracted as a vertex and is contained in some hyperedges, each of which represents an attribute.
Yuchun Fang, Yandan Zheng
openaire   +1 more source

Image Segmentation as Learning on Hypergraphs

2008 Seventh International Conference on Machine Learning and Applications, 2008
In this paper, we propose to use hypergraphs as the model for images and pose image segmentation as a machine learning problem in which some pixels (called seeds) are labeled as the objects and background. Using the seed pixels, our method predicts the labels for all unlabeled pixels.
Lei Ding, Alper Yilmaz
openaire   +1 more source

Self-supervised Hypergraph Representation Learning

2022 IEEE International Conference on Big Data (Big Data), 2022
Boxin Du, Changhe Yuan, Robert Barton, Tal Neiman, Hanghang Tong   +4 more
openaire   +1 more source

Clustering ensemble via structured hypergraph learning

Information Fusion, 2022
Peng Zhou, Liang Du, Xuejun Li
exaly  

Hypergraph convolution and hypergraph attention

Pattern Recognition, 2021
Song Bai
exaly  

HygHD: Hyperdimensional Hypergraph Learning

2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Jaeyoung Kang, You Hak Lee, Minxuan Zhou, Weihong Xu, Tajana Rosing   +4 more
openaire   +1 more source

Dynamic Hypergraph Learning for Collaborative Filtering

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Chunyu Wei, Jian Liang, Bing Bai, Di Liu
openaire   +1 more source

Persistent spectral hypergraph based machine learning (PSH-ML) for protein-ligand binding affinity prediction

Briefings in Bioinformatics, 2021
Xiang Liu, Huitao Feng, Jie Wu
exaly  

Hypergraph Spectral Learning

2016
openaire   +1 more source