Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications is a per reviewed international journal featuring top papers in pattern recognition, image recognition, analysis, understanding, and processing. Emphasis is laid on rapid publishing of concise articles covering theory, methodology, and applications. Major topics include mathematical theory of pattern recognition and image analysis, raw data representation, computer vision, image mining, processing and understanding, machine learning, computer graphics, forecasting, data and knowledge bases, data mining, neural nets, artificial intelligence, software, specialized computer architectures, applications, and related areas.