Tobey H. Ko

Orcid: 0000-0002-3244-9641

According to our database1, Tobey H. Ko authored at least 13 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging.
Medical Image Anal., 2021

2020
Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding.
IEEE Trans. Cybern., 2020

Contextual Correlation Preserving Multiview Featured Graph Clustering.
IEEE Trans. Cybern., 2020

2018
Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Who is the Mr. Right for Your Brand?: - Discovering Brand Key Assets via Multi-modal Asset-aware Projection.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning Perceptual Embeddings with Two Related Tasks for Joint Predictions of Media Interestingness and Emotions.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Analyzing Human Behavior in Subspace: Dimensionality Reduction + Classification.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Learning Memorability Preserving Subspace for Predicting Media Memorability.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Weighted Discriminant Embedding: Discriminant Subspace Learning for Imbalanced Medical Data Classification.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Towards Learning Emotional Subspace.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

2017
Brand key asset discovery via cluster-wise biased discriminant projection.
Proceedings of the International Conference on Web Intelligence, 2017

HKBU at MediaEval 2017 - Emotional Impact of Movies Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

Predicting Media Interestingness via Biased Discriminant Embedding and Supervised Manifold Regression.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017


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