Metric Learning

Discover the fascinating world of Metric Learning by Aurélien Muise, published by Springer International Publishing AG in 2015. This insightful paperback spans 139 pages and delves into the intricate principles of metric learning algorithms.

The book offers a comprehensive overview, starting with an introduction to metrics and progressing through various properties of metric learning algorithms. Readers will explore both linear and nonlinear metric learning, as well as specialized applications for structured data. The author also discusses generalization guarantees, ensuring a well-rounded understanding of the subject.

Whether you are a student, researcher, or professional in the field, this book serves as an essential resource for grasping the complexities of metric learning and its practical applications. Enhance your knowledge and skills with this valuable addition to your library!