Shiluo Huang

Orcid: 0000-0001-9446-5906

According to our database¹, Shiluo Huang authored at least 13 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

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Bibliography

2024

Local kernels based graph learning for multiple kernel clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Superpixel-based multi-scale multi-instance learning for hyperspectral image classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Consensus local graph for multiple kernel clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2024

A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Incremental Learning of Stock Trends via Meta-Learning with Dynamic Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Learning local graph from multiple kernels.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

2022

Bag dissimilarity regularized multi-instance learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

A Superpixel-Correlation-Based Multiview Approach for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

A fisher score-based multi-instance learning method assisted by mixture of factor analysis.

[BibT_eX]

[DOI]

Neurocomputing, 2022

2021

Graph-based broad learning system for classification.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Broad learning system for semi-supervised learning.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Broad learning system with manifold regularized sparse features for semi-supervised classification.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Shiluo Huang

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