Synthetic Trajectory Generation via Clustering-Based Semi-supervised Generative Adversarial Networks All Restricted

Minxing Zhang (Fall 2022)

Permanent URL: https://etd.library.emory.edu/concern/etds/qr46r228c?locale=es

Published

This abstract is under embargo until 11 January 2025

This table of contents is under embargo until 11 January 2025

Rights statement

Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Emory College
Department	Computer Science
Degree	B.S.
Submission	Honors Thesis
Language	English
Research Field	Computer Science
Palabra Clave	Clustering Generative Adversarial Networks Semi-supervised Learning Synthetic Trajectory Generation
Committee Chair / Thesis Advisor	Li Xiong, Emory University
Committee Members	Dwight Duffus, Emory University Kevin McAlister, Emory University Jinho Choi, Emory University

Última modificación