Titlebook: Computer Analysis of Images and Patterns; 19th International C Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento Conference proceedings 20

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A Multi-scale Line Feature Detection Using Second Order Semi-Gaussian Filtersges by using their tied hand-labeled images. Finally, the experimental results and comparison of images containing different line feature widths with state-of-the-art techniques have sufficiently supported the effectiveness of our technique.

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Systems Analysis for Water Technologyrform data imputation, choose the best classifier and tune all necessary hyper-parameters. Experiments on the MNIST data-set show the effectiveness of our solution to optimize the end-to-end multi-view classification pipeline.

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AMI-Class: Towards a Fully Automated Multi-view Image Classifierrform data imputation, choose the best classifier and tune all necessary hyper-parameters. Experiments on the MNIST data-set show the effectiveness of our solution to optimize the end-to-end multi-view classification pipeline.

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How Realistic Should Synthetic Images Be for Training Crowd Counting Models?based methods, focused on image background and pedestrian appearance, show that realism in both of them is beneficial to a different extent, depending on the kind of model (regression- or detection-based) and on pedestrian size in the images.

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