LGJan 8, 2021
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang et al.
This paper is focused on evaluating the effect of some different techniques in machine learning speed-up, including vector caches, parallel execution, and so on. The following content will include some review of the previous approaches and our own experimental results.
LGDec 22, 2020
MailLeak: Obfuscation-Robust Character Extraction Using Transfer LearningWei Wang, Emily Sallenback, Zeyu Ning et al.
The following work presents a new algorithm for character recognition from obfuscated images. The presented method is an example of a potential threat to current postal services. This paper both analyzes the efficiency of the given algorithm and suggests countermeasures to prevent such threats from occurring.