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Building computer vision systems using machine learning algorithms

Boyko N., Sokil N.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2017

Vol. 6, No 2

15--20

In this paper theoretic aspects of machine learning system in the field of computer vision is considered. There are presented methods of behavior analysis. There are offered tasks and problems associated with building systems using machine learning algorithm. The paper provides signs of problems that can be solved by using machine learning algorithms There is demonstrated step by step construction of computer vision system. The paper provides the algorithm of solving the problem of binary (two classes) classification for demonstration the machine learning algorithm possibilities in image recognition field, which can recognize the gender of the person on the photo. Aspects related to the search of data processing are also considered. There is analyzed the search of optimal parameters for algorithms. An interpretation of results in machine learning algorithm is provided. Binarization methods in machine learning algorithm are offered. There is analyzed the technology for improving the accuracy of machine learning algorithm. There are proposed ways to improve computer vision system in neural systems. Also there are analyzed large software modules that work using machine learning systems. The article provides prospects of powerful information technologies, which are necessary for the proper data selection in learning and configuration of feature extraction algorithm to create a computer vision system.

Inteligentny agent programowy w systemach edukacyjnych

Wieczorkowski K.

Zeszyty Naukowe Wyższej Szkoły Informatyki

2005

Vol. 4, Nr 1

95-107

Education needs good, intelligent multimedia programs which are systems based on knowledge and which use the following functions: diagnosis, recognition, interpretation, etc. System agent is a modern, intelligent interface between the user and the computer network. The paper presents some theories and applications of intelligent agents and multi-agent systems. Among the wide spectrum of intelligent agent's applications are definitely the information retrieval, individual information service, mailing, calendar. The role of the intelligent software agents has been increasing over the years and the main effect of this phenomena is the automatic performance of functions without the involvement of the user. The intelligent agent is able to cooperate with other agents and it needs to know where it can get the information from.