Preface Recent advances in intelligent computational intelligence paradigms have contributed tremendously in modem pattern classification techniques. This book is aimed to pro- vide a sample of the state of art techniques in advanced pattern classification and its possible applications. In particular this book includes nine chapters on using various computational o telligent paradigms in healthcare such as intelligent agents and case-based rea- soning. Additionally a number of applications and case studies are presente Chapter one presents an introduction to pattern classification techniques includ- ng current trends in intelligent image analysis and semantic content description Chapter two is on handwriting recognition using neural networks. The authors have proposed a novel neural network. It is demonstrated that the proposed technique of fers higher recognition rate than the other reported techniques in the literature. Chapter three is on moving object detection from mobile platforms. The authors have demonstrated the applicability of their approach to detect moving objects like vehicles or pedestrian in different urban scenarios. Chapter four is on pattern classifications in cognitive environments. The author has demonstrated experimentally that the semantic technique can be used for cog nitive data analysis problems in cognitive informatics. Chapter five is on optimal differential filters on hexagonal lattice. The filters are compared with existing optimised filters to demonstrate the superiority of the technique Chapter six is on graph image language techniques supporting advanced classi fication and computer interpretation of 3D CT coronary vessel visualizations Chapter seven is on a graph matching approach to symmetry detection and analy sis. The authors have validated their approach using extensive experiments on two and three dimensional synthetic and real life images Chapter eight is on pattern classification methods used for the analysis of brain visualization and Computer-aided Diagnosis of perfusion CT maps. The final chapter is on the main methods of multi-class and multi-label classification. These can be applied to a large variety of applications and research fields that relate to human knowledge, cognition and behaviour We believe that scientists, application engineers, university professors, students, and all interested with this subject readers will find this book useful and interestingPreface Recent advances in intelligent computational intelligence paradigms have contributed tremendously in modern pattern classification techniques. This book is aimed to pro￾vide a sample of the state of art techniques in advanced pattern classification and its possible applications. In particular this book includes nine chapters on using various computational intelligent paradigms in healthcare such as intelligent agents and case-based rea￾soning. Additionally a number of applications and case studies are presented. Chapter one presents an introduction to pattern classification techniques includ￾ing current trends in intelligent image analysis and semantic content description. Chapter two is on handwriting recognition using neural networks. The authors have proposed a novel neural network. It is demonstrated that the proposed technique of￾fers higher recognition rate than the other reported techniques in the literature. Chapter three is on moving object detection from mobile platforms. The authors have demonstrated the applicability of their approach to detect moving objects like vehicles or pedestrian in different urban scenarios. Chapter four is on pattern classifications in cognitive environments. The author has demonstrated experimentally that the semantic technique can be used for cog￾nitive data analysis problems in cognitive informatics. Chapter five is on optimal differential filters on hexagonal lattice. The filters are compared with existing optimised filters to demonstrate the superiority of the technique. Chapter six is on graph image language techniques supporting advanced classi￾fication and computer interpretation of 3D CT coronary vessel visualizations. Chapter seven is on a graph matching approach to symmetry detection and analy￾sis. The authors have validated their approach using extensive experiments on two and three dimensional synthetic and real life images. Chapter eight is on pattern classification methods used for the analysis of brain visualization and Computer-aided Diagnosis of perfusion CT maps. The final chapter is on the main methods of multi-class and multi-label classification. These can be applied to a large variety of applications and research fields that relate to human knowledge, cognition and behaviour. We believe that scientists, application engineers, university professors, students, and all interested with this subject readers will find this book useful and interesting