Textbook in PDF format

This collective compendium highlights the achievements of Soviet and Russian mathematical and computer science scientific schools in the area of image analysis and understanding, pattern recognition, artificial intelligence and adjacent fields of computer sciences and applied mathematics. Contributed by renowned researchers, the materials collated are original papers never published before. These chapters provide good balance between fundamental and applied statements of problems and results. This unique reference text benefits professionals, researchers, academics, and graduate students in pattern recognition/image analysis, theoretical computer science and AI. The aim of presenting this monograph to readers — scientists, researchers, engineers, specialists, masters, and senior students specializing in computer science and applied mathematics — is to familiarize them with some aspects of the current state of fundamental and applied research in image analysis and pattern recognition conducted at institutes of the Russian Academy of Sciences and leading Russian universities. All chapters were written by foremost scientists and specialists of the Russian Federation directly involved in fundamental and applied research in image analysis and pattern recognition, i.e. first-hand information directly from the cutting edge of research. About the Editors. Image Analysis and Pattern Recognition in the Russian Federation: Main Results and Development Trends (Igor B. Gurevich and Vera V. Yashina). Part I. Mathematical Theory of Image Analysis. Part II. Mathematical Theory of Pattern Recognition. Part III. Applications of Image Analysis and Pattern Recognition. Part IV. Algebraic Approach to Classification, Forecasting and Pattern Recognition Problems. Part V. Human Vision and Speech Analysis. Index