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    CVPR
    1996
    IEEE
    155views Computer Vision» more  CVPR 1996»
    Determining Correspondences and Rigid Motion of 3-D Point Sets with Missing Data
    14 years 8 months ago
    Determining Correspondences and Rigid Motion of 3-D Point Sets with Missing Data
    Download  www.ri.cmu.edu
    This paper addresses the general 3-D rigid motion problem, where the point correspondences and the motion parameters between two sets of 3-D points are to be recovered. The existe...
    Xiaoguang Wang, Yong-Qing Cheng, Robert T. Collins...
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    CDC
    2009
    IEEE
    189views Control Systems» more  CDC 2009»
    Maximizing aggregated revenue in sensor networks under deadline constraints
    13 years 11 months ago
    Maximizing aggregated revenue in sensor networks under deadline constraints
    Download  www2.ece.ohio-state.edu
    Abstract— We study the problem of maximizing the aggregated revenue in sensor networks with deadline constraints. Our model is that of a sensor network that is arranged in the fo...
    Srikanth Hariharan, Ness B. Shroff
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    KDD
    2009
    ACM
    173views Data Mining» more  KDD 2009»
    Constant-factor approximation algorithms for identifying dynamic communities
    14 years 6 months ago
    Constant-factor approximation algorithms for identifying dynamic communities
    Download  compbio.cs.uic.edu
    We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
    Chayant Tantipathananandh, Tanya Y. Berger-Wolf
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    SAT
    2010
    Springer
    172views Hardware» more  SAT 2010»
    On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
    13 years 4 months ago
    On the Relative Merits of Simple Local Search Methods for the MAX-SAT Problem
    Download  www.cs.toronto.edu
    Algorithms based on local search are popular for solving many optimization problems including the maximum satisfiability problem (MAXSAT). With regard to MAXSAT, the state of the ...
    Denis Pankratov, Allan Borodin
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    CIVR
    2008
    Springer
    279views Image Analysis» more  CIVR 2008»
    Semi-supervised learning of object categories from paired local features
    13 years 8 months ago
    Semi-supervised learning of object categories from paired local features
    Download  www.cs.cmu.edu
    This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
    Wen Wu, Jie Yang
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