[PDF][PDF] 深度学习在手写汉字识别中的应用综述
金连文, 钟卓耀, 杨钊, 杨维信, 谢泽澄, 孙俊 - 自动化学报, 2016 - aas.net.cn
摘要手写汉字识别(Handwritten Chinese character recognition, HCCR)
是模式识别的一个重要研究领域, 最近几十年来得到了广泛的研究与关注 …
是模式识别的一个重要研究领域, 最近几十年来得到了广泛的研究与关注 …
Hierarchical deep neural network for multivariate regression
This paper presents the novel hierarchical deep neural network (HDNN) for the general
multivariate regression problem. The recent insight of deep neural network (DNN) is the …
multivariate regression problem. The recent insight of deep neural network (DNN) is the …
Static mapping by dual recursive bipartitioning of process architecture graphs
F Pellegrini - Proceedings of IEEE Scalable High Performance …, 1994 - ieeexplore.ieee.org
The combinatorial optimization problem of assigning the communicating processes of a
parallel program onto a parallel machine so as to minimize its overall execution time is …
parallel program onto a parallel machine so as to minimize its overall execution time is …
Deep neural network based hidden Markov model for offline handwritten Chinese text recognition
This paper proposes a novel segmentation-free approach using deep neural network based
hidden Markov model (DNN-HMM) for offline handwritten Chinese text recognition. In the …
hidden Markov model (DNN-HMM) for offline handwritten Chinese text recognition. In the …
Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network
The path signature feature (PSF) which was initially introduced in rough paths theory as a
branch of stochastic analysis, has recently been successfully applied to the field of pattern …
branch of stochastic analysis, has recently been successfully applied to the field of pattern …
A deep convolutional neural network based Chinese menu recognition app
This paper presents a Deep Convolutional Neural Network (DCNN)-based Chinese Menu
Recognition App. A DCNN is a multi-layer feed-forward neural network and is an alternative …
Recognition App. A DCNN is a multi-layer feed-forward neural network and is an alternative …
Writer adaptive feature extraction based on convolutional neural networks for online handwritten Chinese character recognition
This paper presents a novel approach to writer adaptation based on convolutional neural
network (CNN) as a feature extractor and improved discriminative linear regression for …
network (CNN) as a feature extractor and improved discriminative linear regression for …
面向手绘军标图形的旋转自由识别方法
吴玲达, 张友根, 邓维, 宋汉辰 - 中国图象图形学报, 2014 - cjig.ijournals.cn
目的在笔式态势标绘应用中, 识别手绘点状军标图形面临着图形类别多, 图形类别之间相似度高,
绘制方向可变等挑战. 针对这些困难提出一个面向手绘军标图形的旋转自由识别方案 …
绘制方向可变等挑战. 针对这些困难提出一个面向手绘军标图形的旋转自由识别方案 …
A study of designing compact classifiers using deep neural networks for online handwritten Chinese character recognition
This paper presents a study of designing compact classifiers using deep neural networks for
recognition of online handwritten Chinese characters. Two schemes are investigated based …
recognition of online handwritten Chinese characters. Two schemes are investigated based …
Rotation-free online handwritten Chinese character recognition using two-stage convolutional neural network
Handwritten Chinese character recognition (HCCR) is a major research area in pattern
recognition. Although recent years have seen tremendous improvement in the use of deep …
recognition. Although recent years have seen tremendous improvement in the use of deep …