Data Structures for Pattern and Image Recognition and Application to Quality Control
Ewaryst Rafajłowicz · Acta Polytechnica Hungarica · 2018
Our aim is to propose a systematics (taxonomy) of data structures that arise in classifying patterns and images, starting from unrelated vectors and ending with matrix and tensors for storing video sequences.Then, we discuss possibilities of classifying such structures under matrix (tensor) normal distribution assumptions.Finally, we provide a case study of using classifiers for quality control of laser-based additive manufacturing.