Journals starting with imta

IMTA20 * *Workshop on Image Mining Theory and Applications
* Algorithms Based on Maximization of the Mutual Information for Measuring Parameters of Canvas Texture from Images
* Automation of the Detection of Pathological Changes in the Morphometric Characteristics of the Human Eye Fundus Based on the Data of Optical Coherence Tomography Angiography
* Basic Models of Descriptive Image Analysis
* Estimate of the Neural Network Dimension Using Algebraic Topology and Lie Theory
* Evaluation of Spectral Similarity Measures and Dimensionality Reduction Techniques for Hyperspectral Images
* First Step Towards Creating a Software Package for Detecting the Dangerous States During Driver Eye Monitoring
* High-performance Algorithms Application for Retinal Image Segmentation Based on Texture Features
* Human Action Recognition Using Recurrent Bag-of-features Pooling
* Image Decomposition Based on Region-constrained Smoothing
* Image Recognition Algorithms Based on the Representation of Classes by Convex Hulls
* Interest Points Detection Based on Sign Representations of Digital Images
* Learning Topology: Bridging Computational Topology and Machine Learning
* Library of Sample Image Instances for the Cutting Path Problem
* Machine Learning Approach for Contactless Photoplethysmographic Measurement Verification
* Machine Learning Based on Minimizing Robust Mean Estimates
* Maximum Similarity Method for Image Mining
* Memory Consumption and Computation Efficiency Improvements of Viola-Jones Object Detection Method for UAVS
* Mobileemotiface: Efficient Facial Image Representations in Video-based Emotion Recognition on Mobile Devices
* Multiregion Multiscale Image Segmentation with Anisotropic Diffusion
* Objective Comparison of Ridge/valley Detectors by Image Filtering, An
* On New Kemeny's Medians
* On the Depth of Gestalt Hierarchies in Common Imagery
* One-class Classification Criterion Robust to Anomalies in Training Dataset
* Recognition of Tomographic Images in the Diagnosis of Stroke
* Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks, The
* Test of Covariation Functions of Cylindrical and Circular Images, The
* Tire Surface Segmentation in Infrared Imaging with Convolutional Neural Networks
* Two-stage Classification Model for Feather Images Identification
* Use of Machine Learning Methods to Detect Defects in Images of Metal Structures, The
30 for IMTA20

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