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Efficient Group-n Encoding and Decoding for Facial Age Estimation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 11, 页码: 2610-2623
作者:  Zichang Tan;  Jun Wan;  Zhen Lei;  Ruicong Zhi;  Guodong Guo;  Stan Z. Li
浏览  |  Adobe PDF(1015Kb)  |  收藏  |  浏览/下载：558/195  |  提交时间：2018/10/10
Age estimation  deep learning  convolutional neural network  age grouping  data imbalance  
Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 2, 页码: 332-351
作者:  Sun, Yunlian;  Zhang, Man;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(2995Kb)  |  收藏  |  浏览/下载：818/296  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
Multi-View Multi-Instance Learning Based on Joint Sparse Representation and Multi-View Dictionary Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 12, 页码: 2554-2560
作者:  Li, Bing;  Yuan, Chunfeng;  Xiong, Weihua;  Hu, Weiming;  Peng, Houwen;  Ding, Xinmiao;  Maybank, Steve
Adobe PDF(352Kb)  |  收藏  |  浏览/下载：395/90  |  提交时间：2018/01/02
Multi-instance Learning  Multi-view  Sparse Representation  Dictionary Learning  
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 2, 页码: 209-226
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang;  Wang, Xiaogang;  Tan, Tieniu
浏览  |  Adobe PDF(2447Kb)  |  收藏  |  浏览/下载：1107/602  |  提交时间：2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Semi-Supervised Tensor-Based Graph Embedding Learning and Its Application to Visual Discriminant Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 1, 页码: 172-188
作者:  Hu, Weiming;  Gao, Jin;  Xing, Junliang;  Zhang, Chao;  Maybank, Stephen;  Weiming Hu
Adobe PDF(7133Kb)  |  收藏  |  浏览/下载：429/132  |  提交时间：2016/04/13
Discriminant Tracking  Tensor Samples  Semi-supervised Learning  Graph Embedding Space  
Explore Efficient Local Features from RGB-D Data for One-Shot Learning Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 卷号: 38, 期号: 8, 页码: 1626-1639
作者:  Wan, Jun;  Guo, Guodong;  Li, Stan Z.;  Jun Wan
Adobe PDF(771Kb)  |  收藏  |  浏览/下载：481/222  |  提交时间：2016/10/20
One-shot Learning  Gesture Reco Gnition  Rgb-d Data  Bag Of Visual Words Model  
A Fast and Accurate Unconstrained Face Detector 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 卷号: 38, 期号: 2, 页码: 211-223
作者:  Liao, Shengcai;  Jain, Anil K.;  Li, Stan Z.
Adobe PDF(19087Kb)  |  收藏  |  浏览/下载：310/54  |  提交时间：2016/06/14
Unconstrained Face Detection  Normalized Pixel Difference  Deep Quadratic Tree  Adaboost  Cascade Classifier  
Robust Structured Subspace Learning for Data Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2015, 卷号: 37, 期号: 10, 页码: 2085-2098
作者:  Li, Zechao;  Liu, Jing;  Tang, Jinhui;  Lu, Hanqing
浏览  |  Adobe PDF(525Kb)  |  收藏  |  浏览/下载：935/410  |  提交时间：2015/10/13
Data Representation  Latent Subspace  Image Understanding  Feature Learning  Structure Preserving  
Rotationally Invariant Descriptors Using Intensity Order Pooling 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 卷号: 34, 期号: 10, 页码: 2031-2045
作者:  Fan, Bin;  Wu, Fuchao;  Hu, Zhanyi
浏览  |  Adobe PDF(1157Kb)  |  收藏  |  浏览/下载：186/20  |  提交时间：2015/08/12
Local Image Descriptor  Rotation Invariance  Monotonic Intensity Invariance  Image Matching  Intensity Orders  Sift  
Maximum Correntropy Criterion for Robust Face Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2011, 卷号: 33, 期号: 8, 页码: 1561-1576
作者:  Ran He(赫然);  Weishi Zheng;  Baogang Hu;  He, Ran
浏览  |  Adobe PDF(2109Kb)  |  收藏  |  浏览/下载：563/290  |  提交时间：2015/08/12
Information Theoretical Learning  Correntropy  Linear Least Squares  Half-quadratic Optimization  Sparse Representation  M-estimator  Face Recognition  Occlusion And Corruption