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Pattern Recognition and Image Analysis
ISSN 1054-6618 (Print) ISSN 1555-6212 (Online)
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Keywords Euclidean space algebraic approach classification clustering computer vision data mining deep learning edge detection face recognition feature extraction image analysis image processing image segmentation machine learning neural networks object detection pattern recognition recognition segmentation support vector machine wavelet transform
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Keywords Euclidean space algebraic approach classification clustering computer vision data mining deep learning edge detection face recognition feature extraction image analysis image processing image segmentation machine learning neural networks object detection pattern recognition recognition segmentation support vector machine wavelet transform
Home > Search > Author Details

Author Details

Yashina, V. V.

Issue Section Title File
Vol 27, No 3 (2017) Applied Problems Development, investigation, and software implementation of a new mathematical method for automated identification of the lipid layer state by images of eyelid intermarginal space
Vol 27, No 3 (2017) Applied Problems Development, investigation, and software implementation of a new mathematical method for automating the analysis of corneal endothelium images
Vol 27, No 3 (2017) Applied Problems A new method for automating the investigation of stem cell populations based on the analysis of the integral optical flow of a video sequence
Vol 27, No 4 (2017) Mathematic Theory of Pattern Recognition Descriptive image analysis: Genesis and current trends
Vol 28, No 4 (2018) Proceedings of the 6th International Workshop Development and Experimental Investigation of Mathematical Methods for Automating the Diagnostics and Analysis of Ophthalmological Images
Vol 29, No 3 (2019) Representation, Processing, Analysis, and Understanding of Images Algebraic Interpretation of Image Analysis Operations
Vol 29, No 4 (2019) Mathematical Theory of Images and Signals Representing, Processing, Analysis, Recognition and Understanding Descriptive Image Analysis: Part II. Descriptive Image Models
 

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