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    ECCV
    2006
    Springer
    121views Computer Vision» more  ECCV 2006»
    A Probabilistic Framework for Correspondence and Egomotion
    15 years 1 months ago
    A Probabilistic Framework for Correspondence and Egomotion
    Download  www.cs.umd.edu
    This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from image...
    Justin Domke, Yiannis Aloimonos
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    PAMI
    2006
    202views more  PAMI 2006»
    Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
    14 years 9 months ago
    Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
    Download  www.cs.technion.ac.il
    A novel algorithm for pose and motion estimation using corresponding features and a Digital Terrain Map is proposed. Using a Digital Terrain (or Digital Elevation) Map (DTM/DEM) as...
    Ronen Lerner, Ehud Rivlin, Héctor Rotstein
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    IROS
    2007
    IEEE
    136views Robotics» more  IROS 2007»
    A bounded uncertainty approach to cooperative localization using relative bearing constraints
    15 years 3 months ago
    A bounded uncertainty approach to cooperative localization using relative bearing constraints
    Download  vader.cse.lehigh.edu
    — This paper describes an approach to cooperative localization which finds its roots in robust estimation, employing an unknown-but-bounded error model for sensor measurements. ...
    Camillo J. Taylor, John R. Spletzer
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    NECO
    2008
    122views more  NECO 2008»
    Constrained Subspace ICA Based on Mutual Information Optimization Directly
    14 years 9 months ago
    Constrained Subspace ICA Based on Mutual Information Optimization Directly
    Download  simone.neuro.kuleuven.ac.be
    We introduce a new approach to constrained Independent Component Analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual informa...
    Marc M. Van Hulle
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    SIAMSC
    2008
    113views more  SIAMSC 2008»
    Statistical Condition Estimation for the Roots of Polynomials
    14 years 9 months ago
    Statistical Condition Estimation for the Roots of Polynomials
    Download  www.math.purdue.edu
    This paper presents fast and reliable condition estimates for the roots of a real polynomial based on the method of statistical condition estimation (SCE) by Kenney and Laub. Using...
    A. J. Laub, J. Xia
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