Researchers struggle to manage vast amounts of data coming from hundreds of sources in online repositories. To successfully conduct research studies, researchers need to find, ret...
David W. Embley, Stephen W. Liddle, Deryle W. Lons...
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
With the popularity of location-based services and the abundant usage of smart phones and GPS enabled devices, the necessity of outsourcing spatial data has grown rapidly over the...
Ling Hu, Wei-Shinn Ku, Spiridon Bakiras, Cyrus Sha...
—This paper introduces a new algorithm for probabilistic motion planning in arbitrary, uncertain vector fields, with emphasis on high-level planning for Montgolfier´e balloons...
Michael T. Wolf, Lars Blackmore, Yoshiaki Kuwata, ...
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...