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    IVC
    2008
    203views more  IVC 2008»
    Multi-modal tracking using texture changes
    14 years 12 months ago
    Multi-modal tracking using texture changes
    Download  mi.eng.cam.ac.uk
    We present a method for efficiently generating a representation of a multi-modal posterior probability distribution. The technique combines ideas from RANSAC and particle filterin...
    Christopher Kemp, Tom Drummond
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    JCIT
    2008
    102views more  JCIT 2008»
    Architectural Patterns for Finding your
    14 years 12 months ago
    Architectural Patterns for Finding your
    Download  www.aicit.org
    The paper discusses the innovative patterns such as subtraction, multiplication, division, task unification and attribute dependency change for evaluating the software architectur...
    N. Sankar Ram, Paul Rodrigues
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    JFR
    2008
    87views more  JFR 2008»
    Hough based terrain classification for realtime detection of drivable ground
    14 years 11 months ago
    Hough based terrain classification for realtime detection of drivable ground
    Download  robotics.iu-bremen.de
    The usability of mobile robots for surveillance, search and rescue missions can be significantly improved by intelligent functionalities decreasing the cognitive load on the opera...
    Jann Poppinga, Andreas Birk 0002, Kaustubh Pathak
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    JMLR
    2008
    133views more  JMLR 2008»
    Algorithms for Sparse Linear Classifiers in the Massive Data Setting
    14 years 11 months ago
    Algorithms for Sparse Linear Classifiers in the Massive Data Setting
    Download  jmlr.csail.mit.edu
    Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
    Suhrid Balakrishnan, David Madigan
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    JMLR
    2008
    123views more  JMLR 2008»
    Optimization Techniques for Semi-Supervised Support Vector Machines
    14 years 11 months ago
    Optimization Techniques for Semi-Supervised Support Vector Machines
    Download  jmlr.csail.mit.edu
    Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
    Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...
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