Sameer Singh / Maneesha Singh (eds.)

Progress in Pattern Recognition

Herausgeber: Singh, Maneesha, Singh, Sameer

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Advances in Pattern Recognition
• Verlag: Springer, Berlin
• Artikelnr. des Verlages: 11937630
• Seitenzahl: 243
• Erscheinungstermin: 3. August 2007
• Englisch
• Abmessung: 239mm x 159mm x 22mm
• Gewicht: 550g
• ISBN-13: 9781846289446
• ISBN-10: 1846289440
• Artikelnr.: 22983286

Autorenporträt

Sameer Singh, Loughborough University, UK / Maneesha Singh, Loughborough University, UK

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.

Rezensionen

From the reviews:
"The book is divided into two parts. ... Although in my opinion many articles could have presented more proper conclusions or deeper proofs and evidences, and some of them focused on the practicability of machine learning and pattern recognition from a theoretically point of view, the scientific relevance of the content of the book is good. The authors presented their work at the International Workshop on Advances in Pattern Recognition 2007. Accordingly, the target audience is also academic." (Eleazar Jimenez Serrano, IAPR Newsletter, Vol. 32 (4), October, 2010)