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CASIA OpenIR
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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：357/73  |  提交时间：2021/06/02
open-set recognition  CNN  prototype model  unknown detection  discriminative model  generative model  
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：1158/505  |  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  
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
Adobe PDF(1397Kb)  |  收藏  |  浏览/下载：603/236  |  提交时间：2015/11/23
Handwritten Chinese Character Recognition  Discriminative Feature Learning  Quadratic Correlation  Dimensionality Promotion  Training Set Expansion  
Online and offline handwritten Chinese character recognition: Benchmarking on new databases 期刊论文
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 1, 页码: 155-162
作者:  Liu, Cheng-Lin;  Yin, Fei;  Wang, Da-Han;  Wang, Qiu-Feng
浏览  |  Adobe PDF(792Kb)  |  收藏  |  浏览/下载：412/101  |  提交时间：2015/08/12
Handwritten Chinese Character Recognition  Online  Offline  Databases  Benchmarking  
Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context 期刊论文
PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 10, 页码: 2807-2818
作者:  Yin, Fei;  Wang, Qiu-Feng;  Liu, Cheng-Lin
Adobe PDF(1946Kb)  |  收藏  |  浏览/下载：325/62  |  提交时间：2015/08/12
Transcript Mapping  Minimum Classification Error (Mce)  Dynamic Time Warping (Dtw)  Confidence Transformation (Ct)  Geometric Context  
Unsupervised language model adaptation for handwritten Chinese text recognition 期刊论文
PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 3, 页码: 1202-1216
作者:  Wang, Qiu-Feng;  Yin, Fei;  Liu, Cheng-Lin
浏览  |  Adobe PDF(3154Kb)  |  收藏  |  浏览/下载：286/53  |  提交时间：2015/08/12
Character String Recognition  Chinese Handwriting Recognition  Unsupervised Language Model Adaptation  Language Model Compression  
An over-segmentation method for single-touching Chinese handwriting with learning-based filtering 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2014, 卷号: 17, 期号: 1, 页码: 91-104
作者:  Xu, Liang;  Yin, Fei;  Wang, Qiu-Feng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1843Kb)  |  收藏  |  浏览/下载：285/67  |  提交时间：2015/08/12
Single-touching Strings  Chinese Handwriting  Over-segmentation  Learning-based Filtering  Geometric Features  
Keyword spotting in unconstrained handwritten Chinese documents using contextual word model 期刊论文
IMAGE AND VISION COMPUTING, 2013, 卷号: 31, 期号: 12, 页码: 958-968
作者:  Huang, Liang;  Yin, Fei;  Chen, Qing-Hu;  Liu, Cheng-Lin
浏览  |  Adobe PDF(1306Kb)  |  收藏  |  浏览/下载：444/210  |  提交时间：2015/08/12
Keyword Spotting  Chinese Handwritten Documents  Word Similarity  Contextual Word Model  
Handwritten Chinese Text Recognition by Integrating Multiple Contexts 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 卷号: 34, 期号: 8, 页码: 1469-1481
作者:  Wang, Qiu-Feng;  Yin, Fei;  Liu, Cheng-Lin
收藏  |  浏览/下载：251/0  |  提交时间：2015/08/12
Handwritten Chinese Text Recognition  Confidence Transformation  Geometric Models  Language Models  Refined Beam Search  Candidate Character Augmentation  Maximum Character Accuracy Training  
Handwritten Chinese text line segmentation by clustering with distance metric learning 期刊论文
PATTERN RECOGNITION, 2009, 卷号: 42, 期号: 12, 页码: 3146-3157
作者:  Yin, Fei;  Liu, Cheng-Lin
收藏  |  浏览/下载：204/0  |  提交时间：2015/08/12
Handwritten Text Line Segmentation  Clustering  Minimal Spanning Tree (Mst)  Distance Metric Learning  Hypervolume Reduction