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    ICCV
    2007
    IEEE
    195views Computer Vision» more  ICCV 2007»
    Ten-fold Improvement in Visual Odometry Using Landmark Matching
    13 years 11 months ago
    Ten-fold Improvement in Visual Odometry Using Landmark Matching
    Download  www.zhiweizhu.com
    Our goal is to create a visual odometry system for robots and wearable systems such that localization accuracies of centimeters can be obtained for hundreds of meters of distance ...
    Zhiwei Zhu, Taragay Oskiper, Supun Samarasekera, R...
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    BCSHCI
    2008
    97views Human Computer Interaction» more  BCSHCI 2008»
    Low cost prototyping: part 2, or how to apply the thinking-aloud method efficiently
    13 years 11 months ago
    Low cost prototyping: part 2, or how to apply the thinking-aloud method efficiently
    Download  www.bcs.org
    Customer satisfaction with regard to user interfaces becomes increasingly more important and is, eventually, decisive for the selection of systems within a competitive market. End...
    Andreas Holzinger, Stephen Brown
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    OPODIS
    2004
    133views Distributed And Parallel Com...» more  OPODIS 2004»
    Self-optimizing DHTs Using Request Profiling
    13 years 11 months ago
    Self-optimizing DHTs Using Request Profiling
    Download  www.selfstabilization.org
    S (in alphabetic order by speaker surname) Speaker: Uri Abraham (Ben-Gurion University) Title: Self-Stabilizing TimeStamps : Speaker: Anish Arora (Ohio State) Title: Self-Stabilizi...
    Alina Bejan, Sukumar Ghosh
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    FLAIRS
    1998
    124views Artificial Intelligence» more  FLAIRS 1998»
    An AI Approach to Computer Assisted Tomography
    13 years 11 months ago
    An AI Approach to Computer Assisted Tomography
    Download  www.aaai.org
    Computer assisted tomography (CAT) systems demandlarge amounts of time and space. In this paper, wedescribe an approachto solving the CAT problemusing several AItechniques includi...
    John F. Kolen, David A. Shamma, Thomas Reichherzer...
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    IJCAI
    1989
    140views Artificial Intelligence» more  IJCAI 1989»
    Input Data Management in Real-Time AI Systems
    13 years 11 months ago
    Input Data Management in Real-Time AI Systems
    Download  ijcai.org
    A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
    Richard Washington, Barbara Hayes-Roth
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