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Effect on the Performance of a Support Vector Machine Based Machine Vision System with Dry and Wet Ore Sample Images in Classification and Grade Prediction
Patel A., Chatterjee S., Gorai A.
An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix
Jindal A., Aggarwal N., Gupta S.
Vicinal support vector classifier: A novel approach for robust classification based on SKDA
Ngadi M., Amine A., Hachimi H., El-Attar A.
Tight risk bounds for multi-class margin classifiers
Maximov Y., Reshetova D.
On metric spaces arising during formalization of recognition and classification problems. Part 1: Properties of compactness
Torshin I., Rudakov K.
Using the K-Nearest Neighbors Algorithm for Automated Detection of Myocardial Infarction by Electrocardiogram Data Entries
Savostin A., Ritter D., Savostina G.
Dimensionality Reduction of Hyperspectral Images Using Pooling
Paul A., Chaki N.
Traffic Sign Classification with a Convolutional Network
Staravoitau A.
A method for recognizing changes in stomach mucosal microstructure by video endoscopy
Kadushnikov R., Mizgulin V., Kulagina O., Fedorov E., Starodubov D., Studenok S., Erendzhenova K., Kamenin I., Davi Y.
Methods for discrete analysis of medical data on the basis of recognition theory and some of their applications
Zhuravlev Y., Nazarenko G., Vinogradov A., Dokukin A., Katerinochkina N., Kleimenova E., Konstantinova M., Ryazanov V., Sen’ko O., Cherkashov A.
Optimisation of multiclass supervised classification based on using output codes with error-correcting
Ryazanov V.
An Efficient Human Activity Recognition Technique Based on Deep Learning
Khelalef A., Ababsa F., Benoudjit N.
An Intelligent Information Technology for Symbol-Extraction from Weakly Formalized Graphic Documents
Vasin Y., Vasin D.
A Coarse-to-Fine Strategy for Vehicle Logo Recognition from Frontal-View Car Images
Sotheeswaran S., Ramanan A.
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
Torshin I., Rudakov K.
Signal classification and software–hardware implementation of digital filter banks based on field-programmable gate arrays and compute unified device architecture
Kaplun D., Klionskiy D., Gulvanskiy V., Voznesenskiy A., Golubkov A., Geppener V., Kupriyanov M.
Solving problems of clustering and classification of cancer diseases based on DNA methylation data
Polovinkin A., Krylov I., Druzhkov P., Ivanchenko M., Meyerov I., Zaikin A., Zolotykh N.
Surface Classification of Damaged Concrete Using Deep Convolutional Neural Network
Hung P., Su N., Diep V.
An Adaptive Entropy Based Scale Invariant Face Recognition Face Altered by Plastic Surgery
Sable A., Talbar S.
Empirical Mode Decomposition for Signal Preprocessing and Classification of Intrinsic Mode Functions
Klionskiy D., Kaplun D., Geppener V.
Description of the process of presentation and recognition of forest vegetation objects on multispectral space images
Nazmutdinova A., Itskov A., Milich V.
On metric spaces arising during formalization of problems of recognition and classification. Part 2: Density properties
Torshin I., Rudakov K.
A survey of deep learning methods and software tools for image classification and object detection
Druzhkov P., Kustikova V.
An Automatic Detection of Blood Vessel in Retinal Images Using Convolution Neural Network for Diabetic Retinopathy Detection
Raja C., Balaji L.
On Some Transformations of Features in Machine Learning in Medicine
Zhuravlev Y., Ryazanov V., Sen’ko O., Dokukin A., Afanas’ev P.
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