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    ISRR
    2005
    Springer
    118views Robotics» more  ISRR 2005»
    A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
    13 years 11 months ago
    A Provably Consistent Method for Imposing Sparsity in Feature-Based SLAM Information Filters
    Download  cml.mit.edu
    An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
    Matthew Walter, Ryan Eustice, John J. Leonard
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    DAS
    2008
    Springer
    126views Document Analysis» more  DAS 2008»
    A Fast Preprocessing Method for Table Boundary Detection: Narrowing Down the Sparse Lines Using Solely Coordinate Information
    13 years 7 months ago
    A Fast Preprocessing Method for Table Boundary Detection: Narrowing Down the Sparse Lines Using Solely Coordinate Information
    Download  chemxseer.ist.psu.edu
    As the rapid growth of PDF document in digital libraries, recognizing the document structure and detecting specific document components are useful for document storage, classifica...
    Ying Liu, Prasenjit Mitra, C. Lee Giles
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    JCNS
    2010
    90views more  JCNS 2010»
    Fast Kalman filtering on quasilinear dendritic trees
    13 years 10 days ago
    Fast Kalman filtering on quasilinear dendritic trees
    Download  www.stat.columbia.edu
    Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
    Liam Paninski
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    IJCV
    2008
    241views more  IJCV 2008»
    Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
    13 years 5 months ago
    Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
    Download  web.mit.edu
    We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
    Jim Mutch, David G. Lowe
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    ICRA
    2006
    IEEE
    115views Robotics» more  ICRA 2006»
    Mapping Large Scale Environments using Relative Position Information among Landmarks
    13 years 11 months ago
    Mapping Large Scale Environments using Relative Position Information among Landmarks
    Download  services.eng.uts.edu.au
    — The main contribution of this paper is a new SLAM algorithm for the mapping of large scale environments by combining local maps. The local maps can be generated by traditional ...
    Shoudong Huang, Zhan Wang, Gamini Dissanayake
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