Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis

Pattern identification in dynamical systems via symbolic time series analysis

This paper presents symbolic time series analysis (STSA) of multi-dimensional measurement data for pattern identification in dynamical systems. The proposed methodology is built upon concepts derived from Information Theory and Automata Theory. The objective is not merely to classify the time series patterns but also to identify the variations therein. To achieve this goal, a symbol alphabet is...

Introduction to Statistical and Structural Pattern Recognition

Pattern recognition - statistical, structural and neural approaches

Thank you for reading pattern recognition statistical structural and neural approaches. Maybe you have knowledge that, people have look numerous times for their chosen readings like this pattern recognition statistical structural and neural approaches, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some harmful...

statistical inference via empirical bayes approach for stationary and dynamic contingency tables

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Structural analysis of musical signals via pattern matching

A musical piece typically has repetitive structures. Analysis of this structure can be used for music indexing, thumbnailing or segmentation. The research described here aims at automatically analyzing the repetitive structure of musical signals. First, we detect the repetition of each segment in a piece using dynamic programming. Second, we summarize this repetition information and infer the s...