Image series prediction via convolutional recurrent neural networks with limited training data

<p>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.</p>

Name thesis:degree_name

Master of Science in Electrical and Computer Engineering (MSECE)

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year

2018

Author dc:creator

• Zhang, Zao

• Applied sciences
• Convolution recurrent neural networks
• Image series
• Limited data set
• Prediction
• Electrical and Computer Engineering

Repository record dc:identifier

https://orb.binghamton.edu/dissertation_and_theses/40

OAI identifier oai:identifier

oai:orb.binghamton.edu:dissertation_and_theses-1047