Effective indexing for face recognitionFace
recognition is one of the most important tasks in computer vision and
pattern recognition Convolution Neural Network Learning Features for Handwritten Digit Recognition-batches on the learning speed and
pattern recognition accuracy is analyzed. The optimal sizes of mini-batch are obtained
Методы и алгоритмы распознавания рукописных символов на основе моментных функций the problem of handwritten characters
recognition based on moment functions is investigated. The purpose
Human activity recognition based on random forestWith the improvement of
pattern recognition algorithm, human activity
recognition (HAR) based
INVARIANT MOMENTS AND METRICS IN PATTERN RECOGNITION for solving the problem of
recognition of graphic images in an unstable environment. Much attention is paid
About one principle to identification of shape of objectProcess of
recognition of the shape of graphic objects consists of several stages. At the first
Extraction of iris images for IT diagnosisIris diagnostics is a method based on the
recognition of its features to determine the state
The System of Handwritten Letters Recognition Based on Neural NetworkThis paper is about the method of
pattern recognition using the example of handwritten letters