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CASIA OpenIR
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Learning by Seeing More Classes 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 45, 期号: 6, 页码: 7477-7493
作者:  Fei Zhu;  Xu-Yao Zhang;  Rui-Qi Wang;  Cheng-Lin Liu
Adobe PDF(2561Kb)  |  收藏  |  浏览/下载：180/54  |  提交时间：2023/09/12
Class augmentation  generalization  confidence estimation  open-environment learning  
Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 5513-5528
作者:  Zhao, Mengbiao;  Feng, Wei;  Yin, Fei;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(5999Kb)  |  收藏  |  浏览/下载：494/44  |  提交时间：2022/09/19
Costs  Annotations  Training  Labeling  Detectors  Data models  Benchmark testing  Mixed-supervised learning  scene text detection  weak supervision forms  expectation-maximization algorithm  
Convolutional Prototype Network for Open Set Recognition 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 卷号: 44, 期号: 5, 页码: 2358-2370
作者:  Hong-Ming Yang;  Xu-Yao Zhang;  Fei Yin;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(5038Kb)  |  收藏  |  浏览/下载：399/85  |  提交时间：2021/06/02
open-set recognition  CNN  prototype model  unknown detection  discriminative model  generative model  
Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks 期刊论文
Pattern Recognition, 2021, 卷号: 114, 期号: 114, 页码: 107859
作者:  Jun-Yu Ye;  Yan-Ming Zhang;  Qing Yang;  Cheng-Lin Liu
Adobe PDF(1780Kb)  |  收藏  |  浏览/下载：374/102  |  提交时间：2021/03/30
Online handwritten documents  Stroke classification  Text line grouping  Graph neural networks  Edge pooling attention networks  
Graphical lasso quadratic discriminant function and its application to character recognition 期刊论文
NEUROCOMPUTING, 2014, 卷号: 129, 期号: 2014, 页码: 33-40
作者:  Xu, Bo;  Huang, Kaizhu;  King, Irwin;  Liu, Cheng-Lin;  Sun, Jun;  Satoshi, Naoi
浏览  |  Adobe PDF(993Kb)  |  收藏  |  浏览/下载：218/71  |  提交时间：2020/10/27
Graphical Lasso  Quadratic Discriminant Function  Character Recognition  
Online semi-supervised learning with learning vector quantization 期刊论文
NEUROCOMPUTING, 2020, 卷号: 399, 页码: 467-478
作者:  Shen, Yuan-Yuan;  Zhang, Yan-Ming;  Zhang, Xu-Yao;  Liu, Cheng-Lin
Adobe PDF(1155Kb)  |  收藏  |  浏览/下载：267/9  |  提交时间：2020/06/22
Online learning  Semi-supervised classification  Learning vector quantization  Gaussian mixture distribution  Neural gas  
Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation 期刊论文
COGNITIVE COMPUTATION, 2018, 卷号: 10, 期号: 2, 页码: 334-346
作者:  Shen, Yuan-Yuan;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1575Kb)  |  收藏  |  浏览/下载：303/86  |  提交时间：2018/10/10
Continuous Incremental Adaptive Learning Vector Quantization  Style Transfer Mapping  Local Style Consistency  Active Learning  
LG-CNN: From local parts to global discrimination for fine-grained recognition 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 71, 期号: 71, 页码: 118-131
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yang, Wenhan;  Xu, Mingliang;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(2717Kb)  |  收藏  |  浏览/下载：708/278  |  提交时间：2018/01/16
Fine-grained Recognition  Convolutional Neural Networks  Bilinear Pooling  Local Parts  Global Discrimination  
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2017, 卷号: 58, 页码: 49-61
作者:  Zhang, Heng;  Zhou, Xiang-Dong;  Liu, Cheng-Lin
Adobe PDF(1932Kb)  |  收藏  |  浏览/下载：248/17  |  提交时间：2017/05/05
Online Handwritten Chinese Documents  Semi-markov Conditional Random Fields  Keyword Spotting  Proxy-character Driven Search  
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 2017, 期号: 65, 页码: 251-264
作者:  Wu, Yi-Chao;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1290Kb)  |  收藏  |  浏览/下载：1220/526  |  提交时间：2017/02/18
Handwritten Chinese Text Recognition  Feedforward Neural Network Language Model  Recurrent Neural Network Language Model  Hybrid Language Model  Convolutional Neural Network Shape Models