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    机器学习论文晦涩难懂?做研究想不到新的idea?没问题,老王带你读机器学习顶级期刊PAMI文章,深入浅出抓要点,把文章里的故事讲给你听,启发你自己的新idea,享受机器学习的乐趣。扫描二维码关注老王“我爱读PAMI”微信公众号 readpami。求关注,求扩散,求打赏!

    • New York University Abu Dhabi

      • 信息科学->自动化->模式识别

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    Freebase问答:Question Answering over Freebase 2021-01-13
    Question Answering over Freebase with Multi-Column Convolutional Neural Networks Li Dong, Furu Wei, Ming Zhou, Ke Xu Proceedings of the 53rd A ...
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    知识图谱实体类型:Knowledge Graph Entity Typing 2020-12-24
    Connecting Embeddings for Knowledge Graph Entity Typing Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang Proceedings of the 58th ...
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    多注意力上下文图:Multi-Attention Context Graph 2020-11-15
    Learning Multi-Attention Context Graph for Group-Based Re-Identification Yichao Yan;Jie Qin;Bingbing Ni;Jiaxin Chen;Li Liu;Fan Zhu;Wei-Shi Zhen ...
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    基于CNN的排序:Ranking with Convolutional Neural Networks 2020-08-14
    Classifying Relations by Ranking with Convolutional Neural Networks Cícero dos Santos, Bing Xiang, Bowen Zhou Proceedings of the 53rd Annual ...
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    保留结构的二值表达:Structure-Preserving Binary Representations 2020-08-03
    Structure-Preserving Binary Representations for RGB-D Action Recognition Mengyang Yu ; Li Liu ; Ling Shao IEEE Transactions on Pattern Analysis ...
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    图规整的NMF:Graph Regularized Nonnegative Matrix Factorization 2020-08-01
    Graph Regularized Nonnegative Matrix Factorization for Data Representation Deng Cai ; Xiaofei He ; Jiawei Han ; Thomas S. Huang IEEE Transactio ...
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    序列元距离:Meta-Distance for Sequences 2020-07-24
    Learning Meta-Distance for Sequences by Learning a Ground Metric via Virtual Sequence Regression   Bing Su ; Ying Wu   IEEE Transac ...
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    基于距离的图像分类:Distance-Based Image Classification 2020-07-05
    Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost Thomas Mensink ; Jakob Verbeek ; Florent Perronnin ; Gabriela ...
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    注意力的图卷积 :Attention Guided Graph Convolutional 2020-05-22
    Attention Guided Graph Convolutional Networks for Relation Extraction Zhijiang Guo, Yan Zhang and Wei Lu Proceedings of the 57th Annual Meeting ...
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    半监督提升:SemiBoost 2020-04-26
    SemiBoost: Boosting for Semi-Supervised Learning Pavan Kumar Mallapragada ; Rong Jin ; Anil K. Jain ; Yi Liu IEEE Transactions on Pattern An ...
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    平方损失互信息:Squared-Loss Mutual Information 2020-03-19
    Cross-Domain Matching with Squared-Loss Mutual Information Makoto Yamada ; Leonid Sigal ; Michalis Raptis ; Machiko Toyoda ; Yi Chang ; Masashi ...
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    多视角测度:Multi-view Metric 2020-03-09
    Sharable and Individual Multi-View Metric Learning Junlin Hu ; Jiwen Lu ; Yap-Peng Tan IEEE Transactions on Pattern Analysis and Machine Intell ...
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    任性的特征:Incremental and Decremental Features 2020-02-09
    One-Pass Learning with Incremental and Decremental Features Chenping Hou ; Zhi-Hua Zhou IEEE Transactions on Pattern Analysis and Machine Intel ...
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    非确定数据分类器:Classifier for Learning from Uncertain Data 2020-02-01
    Linear Maximum Margin Classifier for Learning from Uncertain Data Christos Tzelepis ; Vasileios Mezaris ; Ioannis Patras IEEE Transactions on P ...
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    写在开博10年 2020-02-01
    各位机器学习领域的科研狗你们好,转眼已经来到2020年。2010年,我在科学网上发了 第一篇解读pami的文章 ,到今天已经10年了,这期间在同一个博客上坚持解读pam ...
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    结构提升:StructBoost 2020-01-26
    StructBoost: Boosting Methods for Predicting Structured Output Variables Chunhua Shen ; Guosheng Lin ; Anton van den Hengel IEEE Transactions ...
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    分类器适应进行性能优化:Optimization of Performance 2020-01-26
    Efficient Optimization of Performance Measures by Classifier Adaptation Nan Li ; Ivor W. Tsang ; Zhi-Hua Zhou IEEE Transactions on Pattern Ana ...
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    稀疏合取特征空间:Sparse Conjunctive Feature Spaces 2020-01-25
    Low-Rank Regularization for Sparse Conjunctive Feature Spaces: An Application to Named Entity Classification Audi Primadhanty, Xavier ...
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    多核降维:Multiple Kernel Learning for Dimensionality Reduction 2020-01-06
    Multiple Kernel Learning for Dimensionality Reduction Yen-Yu Lin ; Tyng-Luh Liu ; Chiou-Shann Fuh IEEE Transactions on Pattern Analysis and Mac ...
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    场景解析:Scene Parsing 2020-01-04
    Hierarchical Scene Parsing by Weakly Supervised Learning with Image  Descriptions Ruimao Zhang ; Liang Lin ; Guangrun Wang ; Meng Wang ; Wa ...
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