Document Type
Thesis
Date of Award
2018
Keywords
Applied sciences, Convolution recurrent neural networks, Image series, Limited data set, Prediction
Degree Name
Master of Science in Electrical and Computer Engineering (MSECE)
Department
Electrical and Computer Engineering
Subject Heading(s)
Applied sciences; Convolution recurrent neural networks; Image series; Limited data set; Prediction; Electrical and Computer Engineering
Abstract
This thesis focuses on developing deep learning algorithms that can be used to forecast the image series under limited training data. Specifically, we study the problem of using a pine tree's existing appearance images to predict its future appearance images.
Recommended Citation
Zhang, Zao, "Image series prediction via convolutional recurrent neural networks with limited training data" (2018). Graduate Dissertations and Theses. 40.
https://orb.binghamton.edu/dissertation_and_theses/40
