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    AMS
    2007
    Springer
    250views Robotics» more  AMS 2007»
    SVMs for Vibration-Based Terrain Classification
    13 years 8 months ago
    SVMs for Vibration-Based Terrain Classification
    Download  www.ra.cs.uni-tuebingen.de
    When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn...
    Christian Weiss, Matthias Stark, Andreas Zell
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    IROS
    2006
    IEEE
    71views Robotics» more  IROS 2006»
    Vibration-based Terrain Classification Using Support Vector Machines
    13 years 10 months ago
    Vibration-based Terrain Classification Using Support Vector Machines
    Download  www.ra.cs.uni-tuebingen.de
    Christian Weiss, Holger Fröhlich, Andreas Zel...
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    SAC
    2009
    ACM
    139views Applied Computing» more  SAC 2009»
    Visual detection of novel terrain via two-class classification
    13 years 11 months ago
    Visual detection of novel terrain via two-class classification
    Download  web.mit.edu
    Remote sensing of terrain characteristics is an important component for autonomous operation of mobile robots in natural terrain. Often this involves classification of terrain int...
    Christopher A. Brooks, Karl Iagnemma
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    DIS
    2006
    Springer
    135views Theoretical Computer Science» more  DIS 2006»
    Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification
    13 years 8 months ago
    Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification
    Download  www.lpi.usra.edu
    Mars probes send back to Earth enormous amount of data. Automating the analysis of this data and its interpretation represents a challenging test of significant benefit to the doma...
    Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta
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    JSS
    2008
    317views more  JSS 2008»
    Predicting defect-prone software modules using support vector machines
    13 years 4 months ago
    Predicting defect-prone software modules using support vector machines
    Download  isi.kfupm.edu.sa
    Effective prediction of defectprone software modules can enable software developers to focus quality assurance activities and allocate effort and resources more efficiently. Supp...
    Karim O. Elish, Mahmoud O. Elish
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