Now showing items 1-4 of 4
Sensitivity of Feedforward Neural Networks to Harsh Computing Environments
(Virginia Tech, 2018-08-08)
Neural Networks have proven themselves very adept at solving a wide variety of problems, in particular they accel at image processing. However, it remains unknown how well they perform under memory errors. This thesis ...
Power Analysis and Prediction for Heterogeneous Computation
(Virginia Tech, 2018-02-12)
Power, performance, and cost dictate the procurement and operation of high-performance computing (HPC) systems. These systems use graphics processing units (GPUs) for performance boost. In order to identify inexpensive-to-acquire ...
Stacking Ensemble for auto_ml
(Virginia Tech, 2018-06-13)
Machine learning has been a subject undergoing intense study across many different industries and academic research areas. Companies and researchers have taken full advantages of various machine learning approaches to solve ...
Natural Language Driven Image Edits using a Semantic Image Manipulation Language
(Virginia Tech, 2018-06-04)
Language provides us with a powerful tool to articulate and express ourselves! Understanding and harnessing the expressions of natural language can open the doors to a vast array of creative applications. In this work we ...