Dariusz Jacek Jakóbczak

Dariusz Jacek Jakóbczak
  • PhD
  • Professor (Assistant) at Koszalin University of Technology

research interests connect mathematics with computer science and include computer vision, artificial intelligence, shap

About

7
Publications
349
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1
Citation
Current institution
Koszalin University of Technology
Current position
  • Professor (Assistant)

Publications

Publications (7)
Chapter
Proposed method, called Probabilistic Nodes Combination (PNC), is the method of 2D curve modeling and interpolation using the set of key points. Nodes are treated as characteristic points of unknown object for modeling and recognition. Identification of shapes or symbols need modeling and each model of the pattern is built by a choice of probabilit...
Article
Full-text available
Mathematics and computer science are interested in methods of 2D curve interpolation and extrapolation using the set of key points (knots). A proposed method of Hurwitz- Radon Matrices (MHR) is such a method. This novel method is based on the family of Hurwitz-Radon (HR) matrices which possess columns composed of orthogonal vectors. Two-dimensional...
Article
Aims: To provide an alternative definition for subset Sarima modeling and demonstrate it by application to monthly internally generated revenue of Ikot Ekpene Local Government Area of Akwa Ibom State of Nigeria. Study Design: The study design is theoretical as well as empirical. Place and Duration of Study: Methodology: Based on the duality relatio...
Chapter
Object recognition is one of the topics of artificial intelligence, computer vision, image processing and machine vision. The classical problem in these areas of computer science is that of determining object via characteristic features. Important feature of the object is its contour. Accurate reconstruction of contour points leads to possibility t...
Article
Metoda MHR modeluje kontur punkt po punkcie bez użycia wzoru funkcji opisujacej krzywą. Podstawowe cechy metody MHR są następujace: dokładność rekonstrukcji konturu lub krzywej zależy od liczby węzłów i sposobu wyboru wezłów (na przykład węzły o stałym kroku jednej współrzędnej); stabilność – mała zmiana współrzędnych węzła powoduje małe zmiany obl...

Network

Cited By