In this demonstration we present MAPLE, a scalable peer-to-peer Nearest Neighbor (NN) query system for mobile environments. MAPLE is designed for the efficient sharing of query re...
Wei-Shinn Ku, Roger Zimmermann, Chi-Ngai Wan, Haoj...
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
We present a new method to perform reliable matching between different images. This method finds complete region correspondences between concentric circles and the corresponding p...
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...