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Chromosome classification and speech recognition using inferred Markov networks with empirical landmarks.

by Law Hon Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves 67-70). / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Automated Chromosome Classification --- p.4 / Chapter 2.1 --- Procedures in Chromosome Classification --- p.6 / Chapter 2.2 --- Sample Preparation --- p.7 / Chapter 2.3 --- Low Level Processing and Measurement --- p.9 / Chapter 2.4 --- Feature Extraction --- p.11 / Chapter 2.5 --- Classification --- p.15 / Chapter 3 --- Inference of Markov Networks by Dynamic Programming --- p.17 / Chapter 3.1 --- Markov Networks --- p.18 / Chapter 3.2 --- String-to-String Correction --- p.19 / Chapter 3.3 --- String-to-Network Alignment --- p.21 / Chapter 3.4 --- Forced Landmarks in String-to-Network Alignment --- p.31 / Chapter 4 --- Landmark Finding in Markov Networks --- p.34 / Chapter 4.1 --- Landmark Finding without a priori Knowledge --- p.34 / Chapter 4.2 --- Chromosome Profile Processing --- p.37 / Chapter 4.3 --- Analysis of Chromosome Networks --- p.39 / Chapter 4.4 --- Classification Results --- p.45 / Chapter 5 --- Speech Recognition using Inferred Markov Networks --- p.48 / Chapter 5.1 --- Linear Predictive Analysis --- p.48 / Chapter 5.2 --- TIMIT Speech Database --- p.50 / Chapter 5.3 --- Feature Extraction --- p.51 / Chapter 5.4 --- Empirical Landmarks in Speech Networks --- p.52 / Chapter 5.5 --- Classification Results --- p.55 / Chapter 6 --- Conclusion --- p.57 / Chapter 6.1 --- Suggested Improvements --- p.57 / Chapter 6.2 --- Concluding remarks --- p.61 / Appendix A --- p.63 / Reference --- p.67

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_319213
Date January 1993
ContributorsLaw, Hon Man., Chinese University of Hong Kong Graduate School. Division of Computer Science.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 70 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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