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
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Author Details
Author Details
Rudakov, K. V.
Issue
Section
Title
File
Vol 26, No 2 (2016)
Mathematical Method in Pattern Recognition
On metric spaces arising during formalization of recognition and classification problems. Part 1: Properties of compactness
Vol 26, No 3 (2016)
Methematical Method in Pattern Recognition
On metric spaces arising during formalization of problems of recognition and classification. Part 2: Density properties
Vol 27, No 1 (2017)
Mathematical Method in Pattern Recognition
Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. Part 1: Factorization approach
Vol 27, No 2 (2017)
Mathematical Method in Pattern Recognition
Combinatorial analysis of the solvability properties of the problems of recognition and completeness of algorithmic models. Part 2: Metric approach within the framework of the theory of classification of feature values
Vol 29, No 3 (2019)
General Problems, Methodology and Principles of Pattern Recognition and Image Analysis
Mathematical Foundations for Processing High Data Volume, Machine Learning, and Artificial Intelligence
Vol 29, No 4 (2019)
Applied Artificial Intelligence Systems. Knowledge-Based and Intelligence Systems
On the Procedures of Generation of Numerical Features over Partitions of Sets of Objects in the Problem of Predicting Numerical Target Variables
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