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Generative Adversarial Networks and Data Clustering for Likable Drone Design
Lee J. Yamin, Jessica R. Cauchard
Department of Electrical & Computer Engineering
Department of Industrial Engineering and Management
Research output
:
Contribution to journal
›
Article
›
peer-review
4
Scopus citations
Overview
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Dive into the research topics of 'Generative Adversarial Networks and Data Clustering for Likable Drone Design'. Together they form a unique fingerprint.
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Keyphrases
Data Clustering
100%
Drone Design
100%
Generative Adversarial Networks
100%
Adversarial Data
100%
Likability
100%
Network Clustering
100%
Drone
75%
Drone Cluster
75%
Dataset Size
50%
Drone Images
50%
Transfer Learning
25%
Image Database
25%
Deep Learning Methods
25%
Feature-based
25%
Human-drone Interaction
25%
Design Information
25%
Design Research
25%
User Study
25%
Going beyond
25%
Size Limit
25%
Facial Features
25%
Colorfulness
25%
Clustering Methodology
25%
Emotional Expression
25%
Perception Process
25%
K-means Algorithm
25%
Visual Similarity
25%
Social Drone
25%
New Design Approach
25%
Configuration Learning
25%
Interactional Context
25%
StyleGAN2-ADA
25%
Cluster Formula
25%
Computer Science
Clustered Data
100%
Generative Adversarial Networks
100%
Deep Learning
33%
Transfer Learning
33%
Mean Algorithm
33%
Design Research
33%
Image Database
33%
Facial Feature
33%
Design Information
33%
Size Limitation
33%