Fast and regularized local metric for query-based operations

To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find the nearest neighbouring points on the manifold on which the query point is lying. Extensive experiments on standard benchmark data sets in the context of classification showed promising and interesting results with regard to our proposed algorithm.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Frank P. Ferrie, Karim T. Abou-Moustafa
• Keywords: Computer Vision, ICPR 2008, Nearest Neighbouring Points, Unified Algorithm, Volume Ellipsoid Metric