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Inhaltsangabe
Pattern Matching and Classification.- Estimation in Feedback Loops by Stochastic Learning.- Combining Exhaustive and Approximate Methods for Improved Sub-Graph Matching.- Information Fusion Techniques for Reliably Training Intrusion Detection Systems.- Use of Artificial Neural Networks and Effects of Amino Acid Encodings in the Membrane Protein Prediction Problem.- Computationally Efficient Graph Matching via Energy Vector Extraction.- A Validity Index Based on Cluster Symmetry.- of New Expert and Old Expert Retirement in Ensemble Learning under Drifting Concept.- Comparison of Three Feature Extraction Techniques to Distinguish Between Different Infrasound Signals.- Developing Trading Strategies based on Risk-analysis of Stocks.- Biometrics.- Facial Image Processing with Convolutional Neural Networks.- Time-dependent Interactive Graphical Models for Human Activity Analysis.- A New Lexicon-based Method for Automated Detection of Terrorist Web Documents.- A Neural Network Approach for Multifont and Size-Independent Recognition of Ethiopic Characters.- Automated Classification of Affective States using Facial Thermal Features.- On-line One Stroke Character Recognition Using Directional Features.- Comparison of SVMs in Number Plate Recognition.- Three Different Models for Named Entity Recognition in Bengali.- Comparison of Local and Global Thresholding for Binarization of Cheque Images.- Reading out 2D Barcode PDF417.- Off-Line Hand-Written Farsi/Arabic Word Segmentation into Subword under Overlapped or Connected Conditions.- Iris Biometrics Algorithm for Low Cost Devices.- Optimization on PCA Based Face Recognition Models.- Discriminating Unknown Faces using Eigen-face Approach and a Novelty Filter.- Using Timing to Detect Horror Shots in Horror Movies.- Indoor/Outdoor Scene Classification using Audio and Video Features.
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Über die Autorin bzw. den Autor
Professor Sameer Singh is Director of the Research School of Informatics, Loughborough University, UK, and serves as Editor-in-Chief of the Springer journal, Pattern Analysis and Applications
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The field of pattern recognition has emerged as one of the most challenging and important endeavours in the area of information technology research. Research in the area of pattern recognition has benefits for improving many areas of human endeavour, including medicine, the economy, the environment, and security. This book presents some of the latest advances in the area of pattern recognition theory and applications.
The first half of the book discusses novel pattern classification and matching schemes, and the second half describes the application of novel tools in biometrics and digital multimedia. The applications included, such as face/iris recognition, handwriting recognition, surveillance, human dynamics, sensor fusion, etc., provide a detailed insight into how to build real pattern recognition systems and how to evaluate them. Given the dynamic nature of technology evolution in this area, this book provides the latest algorithms and concepts that can be used to build real systems.
Features and topics:
Provides state-of-the art algorithms, as well as presents cutting-edge applications within the field
Introduces achievements in theoretical pattern recognition, including statistical and Bayesian pattern recognition, structural pattern recognition, neural networks, classification and data mining, evolutionary approaches to optimisation, and knowledge based systems
Offers insights and support to practitioners concerned with the state-of-the art technology in the area
Progress in Pattern Recognition addresses the needs of postgraduate students, researchers, and practitioners in the areas of computer science, engineering and mathematics where pattern recognition techniques are widely used.
Professor Sameer Singh is Director of the Research School of Informatics, Loughborough University, UK, and serves as Editor-in-Chief of the Springer journal, Pattern Analysis and Applications
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Progress in Pattern Recognition (Advances in Computer Vision and Pattern Recognition)
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Progress in Pattern Recognition
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Zustand: New. Proceedings of the 2007 Workshop on Advances in Pattern RecognitionThis book features a collection of articles presented at the 2007 Workshop on Advances in Pattern Recognition, which was organized in conjunction with the 5th International Sum. Artikel-Nr. 102939848
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Progress in Pattern Recognition
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Hardcover. Zustand: Brand New. 1st edition. 242 pages. 9.25x6.00x0.75 inches. In Stock. Artikel-Nr. x-1846289440
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Progress in Pattern Recognition
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Buch. Zustand: Neu. Neuware - This book provides readers with the state-of-the-art algorithms in the area of pattern recognition as well as a presentation of the cutting edge applications within the field. The book introduces recent achievements in the areas of theoretical pattern recognition including statistical and Bayesian pattern recognition, structural pattern recognition, neural networks, classification and data mining, evolutionary approaches to optimisation, and knowledge based systems amongst other areas.The collection of articles presented is from the 2007 Workshop on Advances in Pattern Recognition, organised in conjunction with the 5th International Summer School on Pattern Recognition.An invaluable reference for researchers, academics and postgraduate students in the area of pattern recognition, this book will provide insights and will support practitioners concerned with the state-of-the-art technology in this area. Artikel-Nr. 9781846289446
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