The Classification Accuracy of Multiple-Metric Learning Algorithm on Multi-Sensor Fusion

11 Sep 2013Firouz Abdullah Al-WassaiN. V. Kalyankar

This paper focuses on two main issues; first one is the impact of Similarity Search to learning the training sample in metric space, and searching based on supervised learning classi-fication. In particular, four metrics space searching are based on spatial information that are introduced as the following; Cheby-shev Distance (CD); Bray Curtis Distance (BCD); Manhattan Distance (MD) and Euclidean Distance(ED) classifiers... (read more)

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