Search Results - "2016 IEEE 16th International Conference on Data Mining (ICDM)"

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  1. 101
    Feature Grouping Using Weighted l1 Norm for High-Dimensional Data

    Feature Grouping Using Weighted l1 Norm for High-Dimensional Data by Vinzamuri, Bhanukiran, Padthe, Karthik K., Reddy, Chandan K.

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  2. 102
    EXTRACT: Strong Examples from Weakly-Labeled Sensor Data

    EXTRACT: Strong Examples from Weakly-Labeled Sensor Data by Blalock, Davis W., Guttag, John V.

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  3. 103
    HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent

    HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent by Huan Zhang, Cho-Jui Hsieh, Akella, Venkatesh

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  4. 104
    Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis

    Efficient and Distributed Algorithms for Large-Scale Generalized Canonical Correlations Analysis by Xiao Fu, Kejun Huang, Papalexakis, Evangelos E., Hyun-Ah Song, Talukdar, Partha Pratim, Sidiropoulos, Nicholas D., Faloutsos, Christos, Mitchell, Tom

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  5. 105
    Random Walk with Restart over Dynamic Graphs

    Random Walk with Restart over Dynamic Graphs by Yu, Weiren, McCann, Julie

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  6. 106
    Incorporating Expert Feedback into Active Anomaly Discovery

    Incorporating Expert Feedback into Active Anomaly Discovery by Das, Shubhomoy, Weng-Keen Wong, Dietterich, Thomas, Fern, Alan, Emmott, Andrew

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  7. 107
    SOAL: Second-Order Online Active Learning

    SOAL: Second-Order Online Active Learning by Shuji Hao, Peilin Zhao, Jing Lu, Hoi, Steven C. H., Chunyan Miao, Chi Zhang

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  8. 108
    Dynamic Poisson Factor Analysis

    Dynamic Poisson Factor Analysis by Yizhe Zhang, Yue Zhao, David, Lawrence, Henao, Ricardo, Carin, Lawrence

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  9. 109
    New Robust Clustering Model for Identifying Cancer Genome Landscapes

    New Robust Clustering Model for Identifying Cancer Genome Landscapes by Hongchang Gao, Xiaoqian Wang, Heng Huang

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  10. 110
    Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains

    Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains by Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Jing Yuan, Nicholas, Xing Xie

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  11. 111
    A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting

    A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting by Imran, Muhammad, Chawla, Sanjay, Castillo, Carlos

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  12. 112
    Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures

    Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures by Matta, John, Obafemi-Ajayi, Tayo, Borwey, Jeffrey, Wunsch, Donald, Ercal, Gunes

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  13. 113
    Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems

    Modeling Ambiguity, Subjectivity, and Diverging Viewpoints in Opinion Question Answering Systems by Mengting Wan, McAuley, Julian

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  14. 114
    ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data

    ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data by Zonoozi, Ali, Qirong Ho, Krishnaswamy, Shonali, Gao Cong

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  15. 115
    Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications

    Efficient Extraction of Non-negative Latent Factors from High-Dimensional and Sparse Matrices in Industrial Applications by Xin Luo, Mingsheng Shang, Shuai Li

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  16. 116
    Bi-Level Rare Temporal Pattern Detection

    Bi-Level Rare Temporal Pattern Detection by Dawei Zhou, Jingrui He, Yu Cao, Jae-Sun Seo

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  17. 117
    A Semi-Supervised AUC Optimization Method with Generative Models

    A Semi-Supervised AUC Optimization Method with Generative Models by Fujino, Akinori, Ueda, Naonori

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  18. 118
    Probabilistic Formulations of Regression with Mixed Guidance

    Probabilistic Formulations of Regression with Mixed Guidance by Gress, Aubrey, Davidson, Ian

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  19. 119
    Interpretable Clustering via Discriminative Rectangle Mixture Model

    Interpretable Clustering via Discriminative Rectangle Mixture Model by Junxiang Chen, Chang, Yale, Hobbs, Brian, Castaldi, Peter, Cho, Michael, Silverman, Edwin, Dy, Jennifer

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  20. 120
    Low-Rank Sparse Feature Selection for Patient Similarity Learning

    Low-Rank Sparse Feature Selection for Patient Similarity Learning by Mengting Zhan, Shilei Cao, Buyue Qian, Shiyu Chang, Jishang Wei

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