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    ICRA
    2005
    IEEE
    138views Robotics» more  ICRA 2005»
    Urban Object Recognition from Informative Local Features
    14 years 1 months ago
    Urban Object Recognition from Informative Local Features
    Download  dib.joanneum.at
    Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
    Gerald Fritz, Christin Seifert, Lucas Paletta
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    CVPR
    2010
    IEEE
    894views Computer Vision» more  CVPR 2010»
    Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features
    14 years 3 months ago
    Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features
    Download  www.stanford.edu
    We present a method that unifies tracking and video content recognition with applications to Mobile Augmented Reality (MAR). We introduce the Radial Gradient Transform (RGT) and ...
    Gabriel Takacs, Vijay Chandrasekhar, Sam Tsai, Dav...
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    ICML
    2010
    IEEE
    304views Machine Learning» more  ICML 2010»
    FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model
    13 years 7 months ago
    FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model
    Download  www.icml2010.org
    We present an overview of FAB-MAP, an algorithm for place recognition and mapping developed for infrastructure-free mobile robot navigation in large environments. The system allow...
    Mark Joseph Cummins, Paul M. Newman
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    HUC
    2011
    Springer
    268views Human Computer Interaction» more  HUC 2011»
    Enabling large-scale human activity inference on smartphones using community similarity networks (csn)
    12 years 7 months ago
    Enabling large-scale human activity inference on smartphones using community similarity networks (csn)
    Download  www.cs.dartmouth.edu
    Sensor-enabled smartphones are opening a new frontier in the development of mobile sensing applications. The recognition of human activities and context from sensor-data using cla...
    Nicholas D. Lane, Ye Xu, Hong Lu, Shaohan Hu, Tanz...
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    MOBISYS
    2008
    ACM
    231views Computer Networks» more  MOBISYS 2008»
    Detecting energy-greedy anomalies and mobile malware variants
    14 years 7 months ago
    Detecting energy-greedy anomalies and mobile malware variants
    Download  www.eecs.umich.edu
    Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
    Hahnsang Kim, Joshua Smith, Kang G. Shin
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