Shape of Basic Clusters: Using Analogues of Hough Transform in Higher Dimensions
| Autor: | A. P. Vinogradov, Vladimir Ryazanov, E. A. Nelyubina, Yu. P. Laptin |
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| Rok vydání: | 2018 |
| Předmět: |
Class (set theory)
Basis (linear algebra) business.industry Computer science 020209 energy Pattern recognition 02 engineering and technology 01 natural sciences Computer Graphics and Computer-Aided Design Hough transform law.invention 010101 applied mathematics law Pattern recognition (psychology) 0202 electrical engineering electronic engineering information engineering Computer Vision and Pattern Recognition Artificial intelligence 0101 mathematics Linear decision rules business |
| Zdroj: | Pattern Recognition and Image Analysis. 28:664-669 |
| ISSN: | 1555-6212 1054-6618 |
| DOI: | 10.1134/s1054661818040223 |
| Popis: | A new unified method for improving a wide class of linear decision rules is proposed on the basis of using the concept of Generalized Precedent and analogues of Hough transform in higher dimensions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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