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CASIA OpenIR
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SignParser: An End-to-End Framework for Traffic Sign Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 卷号: 132, 期号: 2, 页码: 805-821
作者:  Guo, Yunfei;  Feng, Wei;  Yin, Fei;  Liu, Cheng-Lin
Adobe PDF(7011Kb)  |  收藏  |  浏览/下载：131/7  |  提交时间：2023/12/21
Traffic sign understanding  Content reasoning  Semantic description generation  
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：389/82  |  提交时间：2021/06/02
open-set recognition  CNN  prototype model  unknown detection  discriminative model  generative model  
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：212/69  |  提交时间：2020/10/27
Graphical Lasso  Quadratic Discriminant Function  Character Recognition  
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 7, 页码: 3281-3293
作者:  Li, Jinpeng;  Qiu, Shuang;  Shen, Yuan-Yuan;  Liu, Cheng-Lin;  He, Huiguang
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：326/6  |  提交时间：2020/08/03
Brain modeling  Electroencephalography  Emotion recognition  Data models  Training  Calibration  Training data  Brain-computer interface  emotion recognition  transfer learning (TL)  
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：254/6  |  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
Adobe PDF(1575Kb)  |  收藏  |  浏览/下载：295/80  |  提交时间：2018/10/10
Continuous Incremental Adaptive Learning Vector Quantization  Style Transfer Mapping  Local Style Consistency  Active Learning  
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：231/10  |  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：1203/519  |  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  
Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 61, 期号: 61, 页码: 348-360
作者:  Zhang, Xu-Yao;  Bengio, Yoshua;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1637Kb)  |  收藏  |  浏览/下载：692/279  |  提交时间：2016/10/27
Handwriting Recognition  Chinese Characters  Online  Offline  Directional Feature Map  Convolutional Neural Network  Adaptation  
Discriminative quadratic feature learning for handwritten Chinese character recognition 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 49, 期号: 1, 页码: 7-18
作者:  Zhou, Ming-Ke;  Zhang, Xu-Yao;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1397Kb)  |  收藏  |  浏览/下载：639/247  |  提交时间：2015/11/23
Handwritten Chinese Character Recognition  Discriminative Feature Learning  Quadratic Correlation  Dimensionality Promotion  Training Set Expansion