Distance measure is one of the techniques widely used to measure the similarity between two feature matrices of objects. The objective of this paper is to explore researches on applied distance measures in shape-based recognition. In distance measures computation, patterns that are similar will have a small distance while uncorrelated pattern in the feature space will have a far a part distance...

To predict key variables of complicated batch processes, the long short-term memory (LSTM) soft sensor is developed to deal with both data nonlinearity and dynamics. extract proper historical samples implement real-time modeling scheme model updating strategy, just-in-time learning (JITL) algorithm widely used at selection stage LSTM sensor. However, multiphase issue processes are not considere...

TOPSIS is a multicriteria decision making technique based on the minimization of geometric distances that allows the ordering of compared alternatives in accordance with their distances from the ideal and anti-ideal solutions. The technique, that usually measures distances in the Euclidean norm, implicitly supposes that the contemplated attributes are independent. However, as this rarely occurs...

Consider ribosomal proteins, each with a three-dimensional spatial location. Proteins related to the cofactor phenotype may be randomly or non-randomly distributed within the ribosome. To investigate this question, the Mahalanobis distance is computed between each pair of protein locations, and the optimal pairing is determined by minimizing the sum of the within-pair distances. Since no single...