DropSample : A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition-Reference-Cited by-同舟云学术

DropSample : A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition

Published:2016-10 Issue: Volume:58 Page:190-203
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Yang Weixin,Jin Lianwen,Tao Dacheng,Xie Zecheng,Feng Ziyong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference73 articles.

1. So lernt man lernen: Der Weg zum Erfolg (Learning to learn: The road to success);Leitner,1972

2. Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition;Liu;Pattern Recognit.,2005

3. On-line handwriting character recognition method with directional features and directional change features;Okamoto;Proc. 4th Int’l Conf. Doc. Anal. Recognit.,1997

4. Direction-change features of imaginary strokes for on-line handwriting character recognition;Okamoto;Proc. 10th Int’l Conf. Pattern Recognit.,1998

5. On-line handwriting character recognition using direction change features that consider imaginary strokes;Okamoto;Pattern Recognit.,1999

Cited by 98 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognizing Digital Ink Chinese Characters Written by International Students Using a Residual Network with 1-Dimensional Dilated Convolution;Information;2024-09-02

2. Deep Neural Network with a Characteristic Analysis for Seal Stroke Recognition;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-07-30

3. A Comparative Analysis of Oak Wood Defect Detection Using Two Deep Learning (DL)-Based Software;Applied System Innovation;2024-04-15

4. SideNet: Learning representations from interactive side information for zero-shot Chinese character recognition;Pattern Recognition;2024-04

5. Improving Handwritten Mathematical Expression Recognition via Similar Symbol Distinguishing;IEEE Transactions on Multimedia;2024