2023
DOI: 10.15587/1729-4061.2023.279372
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Improving the quality of object classification in images by ensemble classifiers with stacking

Abstract: The object of research is the process of classifying objects in images. The quality of classification refers to the ratio of correctly recognized objects to the number of images. One of the options for improving the quality of classification is to increase the depth of neural networks used. The main difficulties along the way are the difficulty of training such neural networks and a large amount of computing that makes it difficult to use them on conventional computers in real time. An alternative way to impro… Show more

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Cited by 1 publication
(8 citation statements)
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“…The generalized architecture of the ensemble classifier is shown in Fig. 2 [9]. It consists of two stages.…”
Section: The Study Materials and Methodsmentioning
confidence: 99%
See 4 more Smart Citations
“…The generalized architecture of the ensemble classifier is shown in Fig. 2 [9]. It consists of two stages.…”
Section: The Study Materials and Methodsmentioning
confidence: 99%
“…Most of the considered approaches to constructing new architectures involve performing a certain volume of floating-point operations, which will lead not to a decrease but to an increase in the volume of calculations when designing analogs of neural networks. The simplest and most studied solution was proposed in [9]. Analogs are obtained by rotating the input images at different angles.…”
Section: The Study Materials and Methodsmentioning
confidence: 99%
See 3 more Smart Citations