- unsupervised pattern recognition
- неадаптивное распознавание образов
The New English-Russian Dictionary of Radio-electronics. F.V Lisovsky . 2005.
unsupervised pattern recognition
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Pattern recognition — is a sub topic of machine learning. It is the act of taking in raw data and taking an action based on the category of the data .citation needed|date=September 2008 Most research in pattern recognition is about methods for supervised learning and… … Wikipedia
Multispectral 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… … Wikipedia
Unsupervised learning — In machine learning, unsupervised learning is a class of problems in which one seeks to determine how the data are organised. It is distinguished from supervised learning (and reinforcement learning) in that there are only inputs, and no… … Wikipedia
Iris recognition — Infobox Anatomy Name = Iris Latin = Caption = The iris is the green/grey/brown area. The other structures visible are the pupil in the centre and the white sclera surrounding the iris. The overlying cornea is pictured, but not visible, as it is… … Wikipedia
Object recognition (computer vision) — Feature detection Output of a typical corner detection algorithm … Wikipedia
Evangelia Micheli-Tzanakou — is a professor of biomedical engineering and the Director of Computational Intelligence Laboratories at Rutgers University. Dr. Micheli Tzanakou is also a Founding Fellow of The American Institute for Medical and Biological Engineering (AIMBE), a … Wikipedia
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
Data Analysis Techniques for Fraud Detection — Fraud is a million dollar business and it is increasing every year. The PwC global economic crime survey of 2009 suggests that close to 30% of companies worldwide reported fallen victim to fraud in the past year[1] Fraud involves one or more… … Wikipedia
Neural network — For other uses, see Neural network (disambiguation). Simplified view of a feedforward artificial neural network The term neural network was traditionally used to refer to a network or circuit of biological neurons.[1] The modern usage of the term … Wikipedia
Machine learning — is a subfield of artificial intelligence that is concerned with the design and development of algorithms and techniques that allow computers to learn . In general, there are two types of learning: inductive, and deductive. Inductive machine… … 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
