unsupervised image classification
1Classification sous contrainte — En intelligence artificielle, la classification sous contrainte désigne une famille d algorithmes d apprentissage semi supervisée. Cette dernière occupe une place intermédiaire entre l apprentissage supervisé (pour laquelle les étiquettes de… …
2Classification in machine learning — See also: Pattern recognition This section needs integrating with Statistical classification (Discuss). Integration means cross linking and distinguishing (to/from each other), or sometimes merging (if consensus suggests). In machine learning and …
3Document classification — or document categorization is a problem in both library science, information science and computer science. The task is to assign a document to one or more classes or categories. This may be done manually (or intellectually ) or algorithmically.… …
4Statistical classification — See also: Pattern recognition See also: Classification test In machine learning, statistical classification is the problem of identifying the sub population to which new observations belong, where the identity of the sub population is unknown, on …
5неконтролируемая классификация изображений — — [http://www.eionet.europa.eu/gemet/alphabetic?langcode=en] EN unsupervised image classification Unsupervised classification is a kind of classification which takes place with minimum input from the operator; no training sample is… …
6Remote sensing application — A remote sensing application is a software application that processes remote sensing data. Remote sensing applications are similar to graphics software, but they enable generating geographic information from satellite and airborne sensor data.… …
7Multispectral pattern recognition — Multispectral remote sensing is the collection and analysis of reflected, emitted, or back scattered energy from an object or an area of interest in multiple bands of regions of the electromagnetic spectrum (Jensen, 2005). Subcategories of… …
8Constellation 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… …
9One-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… …
10Artificial 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… …
