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Pattern recognition - Methods and Applications includes contributions from university educators and active research experts. This book is intended to serve as a basic reference on pattern recognition, especially on the topics related to image and graphics processing, shape analysis, text processing, and bioinformatics analysis.

Chapter 1 proposes a review of traditional outlier detection methods and their recent enhancements. Some particular data representations are presented. A case-study based on a synthetic data is proposed in order to demonstrate the potential of a fuzzy...

This comprehensive book is primarily intended for researchers, computer vision specialists, and high-performance computing specialists who are interested in parallelizing computer vision techniques for the sake of accelerating the run-time of computer vision methods. This book covers different penalization methods on different parallel architectures such as multi-core CPUs and GPUs. It is also a valuable reference resource for researchers at all levels (e.g., undergraduate and postgraduate) who are seeking real-life examples of speeding up the computer vision methods’ run-time.