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Titlebook: Markov Models for Pattern Recognition; From Theory to Appli Gernot A. Fink Textbook 2014Latest edition Springer-Verlag London 2014 Handwrit

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Vector Quantization and Mixture Estimationy. Subsequently, the most important algorithms for building vector quantizers will be presented. Finally, the unsupervised estimation of mixture densities will be treated as a generalization of the vector quantization problem.
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Efficient Model Evaluationor efficiently generating first-best segmentation result as well as alternative solutions organized in the form of so-called .-best lists. Subsequently, methods are explained that apply techniques of search space pruning for the acceleration of the parameter training of HMMs. The chapter concludes w
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Handwriting Recognitionfor offline handwriting recognition which include a system based on so-called Bag-of-Features HMMs. This recently proposed extension of the HMM framework works especially well on the challenging task of query-by-example word spotting.
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Gernot A. Fink and bronchioles (mosaic perfusion, tree-in-buds, tram-track, and signet ring signs). Expiratory CT provides important information about the anatomical and physiological features of the lungs that complements inspiratory CT and spirometry results. The term air trapping was first used by the physiolo
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