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Recognition of graphic patterns: Part IA description of the process of recognition of graphic objects in real-time systems is considered
Object recognition based on skeletonObject recognition is one of the heated topics discussed in the computer vision, which is a field
Method of Selecting an Optimal Activation Function in Perceptron for Recognition of Simple Objects© 2018 IEEE. Artificial feedforward neural networks for simple objects recognition of different
Hand Action Recognition tool and act on an object of the device. These actions were categorized into 12 classes for simple
“Pattern recognition and information processing”: 30 years and 15 conferences and practical implementation of devices and
systems designed to recognize objects, phenomena
Specific features of the calculation of metrics in identification of graphical objects by the methods of geometric correlation in identification of graphical objects based on geometric correlation are investigated. The problem of dependence
Object recognition based on skeleton advantages. In this paper, we present the key processes of the object recognition based on the skeleton.
Comparison of Different Convolutional Neural Network Architectures for Satellite Image SegmentationConvolutional neural networks for detection geo-objects on the satellite images from DSTL, Landsat
Small object detection methodIn computer vision, significant advances have been made on object detection with the rapid
Emotion recognition in different cultures the success of emotion recognition. To achieve the research objectives the authors used such methods as
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