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    PAMI
    2012
    246views Software Engineering» more  PAMI 2012»
    LDAHash: Improved Matching with Smaller Descriptors
    13 years 8 months ago
    LDAHash: Improved Matching with Smaller Descriptors
    Download  cvlab.epfl.ch
    —SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
    Christoph Strecha, Alexander A. Bronstein, Michael...
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    CVPR
    2012
    IEEE
    238views Computer Vision» more  CVPR 2012»
    Meta-class features for large-scale object categorization on a budget
    13 years 8 months ago
    Meta-class features for large-scale object categorization on a budget
    Download  vlg.cs.dartmouth.edu
    In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
    Alessandro Bergamo, Lorenzo Torresani
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    150
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    ACL
    2012
    218views Computational Linguistics» more  ACL 2012»
    Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
    13 years 8 months ago
    Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
    Download  aclweb.org
    Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
    Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou
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    192
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    SDM
    2012
    SIAM
    282views Data Mining» more  SDM 2012»
    Citation Prediction in Heterogeneous Bibliographic Networks
    13 years 8 months ago
    Citation Prediction in Heterogeneous Bibliographic Networks
    Download  www.cs.uiuc.edu
    To reveal information hiding in link space of bibliographical networks, link analysis has been studied from different perspectives in recent years. In this paper, we address a no...
    Xiao Yu, Quanquan Gu, Mianwei Zhou, Jiawei Han
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    200
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    AAAI
    2012
    216views Intelligent Agents» more  AAAI 2012»
    Advances in Lifted Importance Sampling
    13 years 8 months ago
    Advances in Lifted Importance Sampling
    Download  www.hlt.utdallas.edu
    We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
    Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
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