Pattern recognition books

This book compiles leading research on the development of explainable and interpretable machine learning methods...  Read More >>

This book contains revised and extended versions of selected papers from the 7th International Conference on Pattern...  Read More >>

This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification,...  Read More >>

Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision...  Read More >>

This book implemented six different algorithms to classify images with prediction accuracy as the primary criterion...  Read More >>

This book introduces the challenges of robotic tactile perception and task understanding, and describes an advanced...  Read More >>

This book presents the latest developments in biometrics technologies and reports on new approaches, methods, findings,...  Read More >>

This book presents the consolidated acoustic data for all phones in Standard Colloquial Bengali (SCB), commonly...  Read More >>

The book focuses on machine learning. The second part then describes the application of machine learning in the...  Read More >>

This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference...  Read More >>

This book equips readers to handle complex multi-view data representation, centered around several major visual...  Read More >>

The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is...  Read More >>

This book offers an introduction to modern natural language processing using machine learning, focusing on how neural...  Read More >>

This book highlights recent research advances in unsupervised learning using natural computing techniques such as...  Read More >>

This book explores some of the emerging scientific and technological areas in which the need for data analytics...  Read More >>

This book summarizes the organized competitions held during the first NIPS competition track. It provides both theory...  Read More >>

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based...  Read More >>

It begins with an in-depth introduction to musical signal analysis and its current applications, and then moves...  Read More >>

""Pattern Recognition, Machine Intelligence and Biometrics"" covers the most recent developments in Pattern Recognition...  Read More >>

This book describes breath signal processing technologies and their applications in medical sample classification...  Read More >>

This book captures the current challenges in automatic recognition of emotion in spontaneous speech and makes an...  Read More >>

This book presents state-of-the-art methodologies and a comprehensive introduction to the recognition and representation...  Read More >>

The two-volume set LNCS 11295 and 11296 constitutes the thoroughly refereed proceedings of the 25th International...  Read More >>

Generative Adversarial Networks have opened up many new possibilities in the machine learning domain. This book...  Read More >>

This book demonstrates techniques to leverage the power of Python, OpenCV, and TensorFlow to solve problems in Computer...  Read More >>