Pattern Recognition, Machine Intelligence and Biometrics covers recent developments in the field of pattern recognition using artificial intelligence technologies. Topics include image analysis and fingerprint recognition, facial expressions and emotions, handwriting and signatures, and more.
This book addresses the face recognition problem while gaining new insights from complementary fields. It examines the evolution of face-recognition systems and explores new directions. The book has a well-focused approach and provides an excellent reference work.
This book explores advances in social media modeling and social media computing research, organized and presented according to current principles and practices. Coverage includes system design, analytic tools, access control for privacy and security and more.
This textbook is an overview of theories, methodologies, and recent developments in the field, covering the theoretical foundation and providing a complete summary of the latest advances. It also presents key issues to be considered in making a real system.
This guide on the use of SVMs in pattern classification includes a rigorous performance comparison of classifiers and regressors. The book takes the unique approach of focusing on classification rather than covering the theoretical aspects of SVMs.
Here is a complete, integrated, large-scale solution to the challenge of designing a robust symbol-spotting method for collections of graphic-rich documents. The book presents a methodology which can be used in a wide variety of applications.