An information retrieval model based on vector space method by supervised learning
Information Processing and Management: an International Journal
A Neural-Network Dimension Reduction Method for Large-Set Pattern Classification
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Improving Pattern Recognition Using Several Feature Vectors
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Learning using distance based training algorithm for pattern recognition
Pattern Recognition Letters
Automatic recognition of isolated monophonic musical instrument sounds using kNNC
Journal of Intelligent Information Systems - Special issue: Intelligent multimedia applications
Identifying cervical cancer lesions using temporal texture analysis
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
Advanced Engineering Informatics
International Journal of Intelligent Systems Technologies and Applications
An overview of clustering methods
Intelligent Data Analysis
A Multi-functional Entertaining and Educational Robot
Journal of Intelligent and Robotic Systems
Knowledge discovery with classification rules in a cardiovascular dataset
Computer Methods and Programs in Biomedicine
An intrusion detection based on support vector machines with a voting weight schema
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Agent-based intelligent decision support for the home healthcare environment
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
Drawings as input for handheld game computers
INTETAIN'05 Proceedings of the First international conference on Intelligent Technologies for Interactive Entertainment
Expert system for clustering prokaryotic species by their metabolic features
Expert Systems with Applications: An International Journal
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From the Publisher:The addition of artificial neural network computing to traditionalpattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitioner, Pattern Recognition with Neural Networks in C++ covers pattern classification and neural network approaches within the same framework. Through the book's presentation of underlying theory and numerous practical examples, readers gain an understanding that will allow them to make judicious design choices rendering neural application predictable and effective. The book provides an intuitive explanation of each method for each network paradigm. This discussion is supported by a rigorous mathematical approach where necessary. C++ has emerged as a rich and descriptive means by which concepts, models, or algorithms can be precisely described. For many of the neural network models discussed, C++ programs are presented for the actual implementation. Pictorial diagrams and in-depth discussions explain each topic. Necessary derivative steps for the mathematical models are included so that readers can incorporate new ideas into their programs as the field advances with new developments. For each approach, the authors clearly state the known theoretical results, the known tendencies of the approach, and their recommendations for getting the best results from the method. The material covered in the book is accessible to working engineers with little or no explicit background in neural networks. However, the material is presented in sufficient depth so that those with prior knowledge will find this book beneficial. Pattern Recognition with Neural Networks in C++ is also suitable for courses in neural networks at an advanced undergraduate or graduate level. This book is valuable for academic as well as practical research.