Graph-Based Representations in Pattern Recognition

Discover the innovative world of graph-based methods in "Graph-Based Representations in Pattern Recognition" by Cheng-Lin Liu, published by Springer International Publishing AG in 2015. This comprehensive paperback edition spans 376 pages and delves into a variety of topics within graph theory, offering valuable insights for researchers and practitioners alike.

The book features a collection of accepted papers that explore diverse issues related to graph-based techniques and their applications. With 7 contributions on graph representation, 15 on graph matching, 7 on graph clustering and classification, and another 7 focusing on practical graph-based applications, this volume serves as an essential resource for anyone interested in advancing their understanding of optical pattern recognition.

Enhance your knowledge and skills in pattern recognition with this authoritative text, perfect for both academic and professional settings.