Chapter 10: Representation learning and retrieval
Maria Tzelepi; Paraskevi Nousi; Nikolaos Passalis; Anastasios Tefas Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece
Abstract
Recent advances in Deep Learning (DL), which inherently incorporate representation learning, have altered the landscape of representation learning tasks, such as image retrieval. This chapter aims to provide an introduction to recent deep representation learning methods, with special emphasis to the content based image retrieval task that will equip the reader with the necessary knowledge to apply these methods in practice. Particularly, we first present how a well-known DL method, known as autoencoders, can be used for representation ...
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