PhD Defence • Artificial Intelligence — Learning Sparse Orthogonal Wavelet Filters
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
Mohamed Malek Naouach, Master’s candidate
David R. Cheriton School of Computer Science
Peiyuan Liu, Master’s candidate
David R. Cheriton School of Computer Science
Woojung Kim, Master’s candidate
David R. Cheriton School of Computer Science
Ankit Vadehra, Master’s candidate
David R. Cheriton School of Computer Science
Chathura Kankanamge, Master’s candidate
David R. Cheriton School of Computer Science
Cristina Tavares, Master’s candidate
David R. Cheriton School of Computer Science
Carolyn Lamb, PhD candidate
David R. Cheriton School of Computer Science
This thesis is driven by the question of how computers can generate poetry, and how that poetry can be evaluated. We survey existing work on computer-generated poetry and interdisciplinary work on how to evaluate this type of computer-generated creative product.
Ben Armstrong, Master’s candidate
David R. Cheriton School of Computer Science
Rafi Shan Turas, Master’s candidate
David R. Cheriton School of Computer Science