Aggregating Everyday Outfits by Incremental Clustering With Interactive User Adaptation

Aggregating Everyday Outfits by Incremental Clustering With Interactive User Adaptation

Knowledge of the outfits that a person wears daily and how frequently the person wears them will help the person select clothing every morning. However, it is very-time consuming to manually record what the person wears every day. This paper proposes a system that automatically aggregates and visual...

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Bibliographic Details
Main Authors: Yasutomo Kawanishi, Hiroshi Murase, Satoshi Komorita, Sei Naito
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Clothing frequency
fashion application
incremental clustering
metric learning
user adaptation
user feedback
Online Access:https://ieeexplore.ieee.org/document/9514515/

Internet

https://ieeexplore.ieee.org/document/9514515/

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