Letting Logos Speak: Leveraging Multiview Representation Learning for Data-Driven Branding and Logo Design
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DOI: 10.1287/mksc.2021.1326
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References listed on IDEAS
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Cited by:
- Hui Li & Jian Ni & Fangzhu Yang, 2024. "Product Design Using Generative Adversarial Network: Incorporating Consumer Preference and External Data," Papers 2405.15929, arXiv.org, revised Jun 2024.
- Alex Burnap & John R. Hauser & Artem Timoshenko, 2023. "Product Aesthetic Design: A Machine Learning Augmentation," Marketing Science, INFORMS, vol. 42(6), pages 1029-1056, November.
- Alireza Aghasi & Arun Rai & Yusen Xia, 2024. "A Deep Learning and Image Processing Pipeline for Object Characterization in Firm Operations," INFORMS Journal on Computing, INFORMS, vol. 36(2), pages 616-634, March.
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Keywords
logos; branding; machine learning; multiview learning; representation learning; image processing; Bayesian estimation;All these keywords.
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