Лингвистика в контексте когнитивных наук
This article deals with the study of the plot invariant and its variability that occurs on the level of the linguistic structure of texts. The material of research is based on Middle English folklore texts. The author tries to show the notion of variation as a process taking into account literature and linguistic stability and variability of the folk texts. Becoming more resultative even in the theory of translation, the concept of invariant for an interpreter is the idea that should remain unchanged and understood as information to be passed on, while an expressed idea is becoming a variant already.
An ensemble of classifiers has been built to solve the problem of video image recognition. The paper offers a way to estimate the a posteriori probability of an image belonging to a particular class in the case of an arbitrary distance and nearest neighbor method. The estimation is shown to be equivalent to the optimal naive Bayesian estimate given Kullback-Leibler divergence being used as proximity measure. The block diagram of a video image recognition system is presented. The system features automatic adaptation of the list of images of identical objects which is fed to the committee machine input. The system is tested in face recognition task using popular data bases (FERET, AT&T, Yale) and the results are discussed.