1 code implementation • 25 Jun 2023 • Shuai Lu, Jun Chu, Xu T. Liu
However, the im2col data transformation can lead to at least 2$\times$ memory footprint compared to not using data transformation at all, thus limiting the size of neural network models running on memory-limited systems.
1 code implementation • 25 Jun 2023 • Shuai Lu, Jun Chu, Luanzheng Guo, Xu T. Liu
Convolution is the most time-consuming operation in deep neural network operations, so its performance is critical to the overall performance of the neural network.
2 code implementations • 13 Mar 2020 • Tiehang Duan, Mihir Chauhan, Mohammad Abuzar Shaikh, Jun Chu, Sargur Srihari
The pattern of Electroencephalogram (EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a learned classifier onto a new subject, 2) retaining knowledge of known subjects after the adaptation.
1 code implementation • 19 Nov 2018 • Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Sargur Srihari
Experiments are performed by complementing one of the HEF methods with one ALF method on 150000 pairs of samples of the word "AND" cropped from handwritten notes written by 1500 writers.
no code implementations • 30 Apr 2017 • Luanzheng Guo, Jun Chu
First, the line segments are refined by four consecutive operations, i. e., reclassifying, connecting, fitting, and voting.