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    WWW
    2002
    ACM
    151views Internet Technology» more  WWW 2002»
    OCTOPUS: aggressive search of multi-modality data using multifaceted knowledge base
    14 years 6 months ago
    OCTOPUS: aggressive search of multi-modality data using multifaceted knowledge base
    Download  www.cs.cityu.edu.hk
    An important trend in Web information processing is the support of multimedia retrieval. However, the most prevailing paradigm for multimedia retrieval, content-based retrieval (C...
    Jun Yang 0003, Qing Li, Yueting Zhuang
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    KDD
    2009
    ACM
    211views Data Mining» more  KDD 2009»
    Address standardization with latent semantic association
    14 years 6 months ago
    Address standardization with latent semantic association
    Download  www-ai.cs.uni-dortmund.de
    Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
    Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
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    SDM
    2008
    SIAM
    161views Data Mining» more  SDM 2008»
    Efficient Maximum Margin Clustering via Cutting Plane Algorithm
    13 years 6 months ago
    Efficient Maximum Margin Clustering via Cutting Plane Algorithm
    Download  siam.org
    Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
    Bin Zhao, Fei Wang, Changshui Zhang
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    TRECVID
    2008
    177views Internet Technology» more  TRECVID 2008»
    The MediaMill TRECVID 2008 Semantic Video Search Engine
    13 years 6 months ago
    The MediaMill TRECVID 2008 Semantic Video Search Engine
    Download  www-nlpir.nist.gov
    In this paper we describe our TRECVID 2008 video retrieval experiments. The MediaMill team participated in three tasks: concept detection, automatic search, and interactive search...
    Cees G. M. Snoek, Koen E. A. van de Sande, Ork de ...
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    BMCBI
    2010
    224views more  BMCBI 2010»
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    13 years 5 months ago
    An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
    Download  www.biomedcentral.com
    Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
    Susmita Datta, Vasyl Pihur, Somnath Datta
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