دانلود کتاب Theory of Segmentation

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Hidden Markov Models Theory and Applications Preface......Page 1
Part 1......Page 13
01_History and Theoretical Basics of Hidden Markov Models......Page 15
02_Hidden Markov Models in Dynamic System Modelling and Diagnosis......Page 39
03_Theory of Segmentation......Page 63
04_Classification of Hidden Markov Models: Obtaining Bounds on the Probability of Error and Dealing with Possibly Corrupted Observations......Page 97
Part 2......Page 123
05_Hierarchical Command Recognition Based on Large Margin Hidden Markov Models......Page 125
06_Modeling of Speech Parameter Sequence Considering Global Variance for HMM-Based Speech Synthesis......Page 143
07_Using Hidden Markov Models for ECG Characterisation......Page 163
08_Hidden Markov Models in the Neurosciences......Page 181
09_Volcano-Seismic Signal Detection and Classification Processing Using Hidden Markov Models - Application to San Cristóbal and Telica Volcanoes, Nicaragua......Page 199
10_A Non-Homogeneous Hidden Markov Model for the Analysis of Multi-Pollutant Exceedances Data......Page 219
Part 3......Page 235
11_Continuous Hidden Markov Models for Depth Map-Based Human Activity Recognition......Page 237
12_Applications of Hidden Markov Models in Microarray Gene Expression Data......Page 261
13_Application of HMM to the Study of Three-Dimensional Protein Structure......Page 281
14_Control Theoretic Approach to Platform Optimization using HMM......Page 303