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Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 14
作者:  Zheng, Xiaolong;  Tian, Hu;  Wan, Zhe;  Wang, Xiao;  Zeng, Daniel Dajun;  Wang, Fei-Yue
Adobe PDF(8005Kb)  |  收藏  |  浏览/下载：183/13  |  提交时间：2022/01/27
Social networking (online)  Dictionaries  Stock markets  Investment  Games  Analytical models  Market research  Dynamic interaction network  financial market  GameStop  short squeeze  social network analysis  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：259/60  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Scene text detection and recognition with advances in deep learning: a survey 期刊论文
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION, 2019, 卷号: 22, 期号: 2, 页码: 143-162
作者:  Liu, Xiyan;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：270/30  |  提交时间：2019/07/11
Natural image  Text detection  Text recognition  Survey  
Structured Weak Semantic Space Construction for Visual Categorization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 8, 页码: 3442-3451
作者:  Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
浏览  |  Adobe PDF(1950Kb)  |  收藏  |  浏览/下载：490/223  |  提交时间：2017/09/14
Exemplar classifier training  image classification  structure learning  visual categorization  weak semantic space  
Articulated motion and deformable objects 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 79, 期号: 1, 页码: 55-64
作者:  Wan, Jun;  Escalera, Sergio;  Perales, Francisco J.;  Kittler, Josef
Adobe PDF(500Kb)  |  收藏  |  浏览/下载：331/92  |  提交时间：2018/10/08
Articulated Motion And Deformable Objects  Pose Estimation  Action Recognition  Gesture Recognition  Face Analysis  
Fisher vector for scene character recognition: A comprehensive evaluation 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 72, 期号: 2017, 页码: 1-14
作者:  Shi, Cunzhao;  Wang, Yanna;  Jia, Fuxi;  He, Kun;  Wang, Chunheng;  Xiao, Baihua
浏览  |  Adobe PDF(2285Kb)  |  收藏  |  浏览/下载：362/93  |  提交时间：2018/01/02
Character Representation  Character Recognition  Fisher Vector (Fv)  Gaussian Mixture Models (Gmm)  Bag Of Visual Words (Bow)  
Personality-based refinement for sentiment classification in microblog 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 132, 期号: 132, 页码: 204-214
作者:  Lin, Junjie;  Mao, Wenji;  Zeng, Daniel D.
浏览  |  Adobe PDF(965Kb)  |  收藏  |  浏览/下载：526/231  |  提交时间：2018/01/04
Sentiment Classification  Social Media Analytics  Personality Prediction  Big Five Model  
A cascaded method for text detection in natural scene images 期刊论文
NEUROCOMPUTING, 2017, 卷号: 238, 期号: 238, 页码: 307-315
作者:  Zheng, Yang;  Li, Qing;  Liu, Jie;  Liu, Heping;  Li, Gen;  Zhang, Shuwu
Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：320/71  |  提交时间：2017/07/18
Extremal Regions  Recursive Local Search  Text Line Entropy  Convolutional Neural Network  
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：1131/499  |  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  
Multi-Instance Multi-Label Learning Combining Hierarchical Context and its Application to Image Annotation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 8, 页码: 1616-1627
作者:  Ding, Xinmiao;  Li, Bing;  Xiong, Weihua;  Guo, Wen;  Hu, Weiming;  Wang, Bo
Adobe PDF(549Kb)  |  收藏  |  浏览/下载：422/141  |  提交时间：2016/10/20
Image Annotation  Instance Context  Label Context  Multi-instance  Multi-label