- unsupervised component
- неконтролируемая (в процессе обработки) деталь
Большой англо-русский и русско-английский словарь. 2001.
Большой англо-русский и русско-английский словарь. 2001.
Multilinear principal-component analysis — (MPCA) [1] is a mathematical procedure that uses multiple orthogonal transformations to convert a set of multidimensional objects into another set of multidimensional objects of lower dimensions. There is one orthogonal transformation for each… … Wikipedia
Independent component analysis — (ICA) is a computational method for separating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non Gaussian source signals. It is a special case of blind source separation. Definition When… … Wikipedia
Constellation model — The constellation model is a probabilistic, generative model for category level object recognition in computer vision. Like other part based models, the constellation model attempts to represent an object class by a set of N parts under mutual… … Wikipedia
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Artificial neural network — An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an… … Wikipedia
Word-sense disambiguation — Disambiguation redirects here. For other uses, see Disambiguation (disambiguation). In computational linguistics, word sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which… … Wikipedia
Granular computing — is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information.… … Wikipedia
One-shot learning — is an object categorization problem of current research interest in computer vision. Whereas most machine learning based object categorization algorithms require training on hundreds or thousands of images and very large datasets, one shot… … Wikipedia
Dirichlet process — In probability theory, a Dirichlet process is a stochastic process that can be thought of as a probability distribution whose domain is itself a random distribution. That is, given a Dirichlet process , where H (the base distribution) is an… … Wikipedia
Natural language processing — (NLP) is a field of computer science and linguistics concerned with the interactions between computers and human (natural) languages; it began as a branch of artificial intelligence.[1] In theory, natural language processing is a very attractive… … Wikipedia