Information Fusion Based on Metric Learning

Metric learning aims to measure the similarity or dissimilarity between each pair of samples. Until now, various types of metrics are studied and achieve satisfied performances in many applications. To comprehensively exploit the advantages of different metrics, this chapter proposes two metric fusion methods and applies them to classification and verification. After reading this chapter people can have preliminary knowledge on metric learning based fusion algorithms.