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Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 16th International J A. Augusto de Sousa,Vlastimil Havran,Kadi Boua

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Training Strategy with Convolutional Neural Networks to Improve Scale Invariance global feature extraction strategy. This makes them . models and results in poor invariance encoding within its learnt weights to adequately identify objects whose appearance is altered by various transformations such as rotations, translations, and scale. Recent physiological studies reveal the vi
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Spline-Based Dense Medial Descriptors for Image Simplification Using Saliency Mapseparately used to (a) increase the local quality of representing salient features in an image and (b) globally compress an entire image via a B-spline encoding. To date, the two desiderates, (a) high local quality and (b) high overall compression of images, have not been addressed by a single medial
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Conference proceedings 2023 Applications, VISIGRAPP 2021, held as a virtual event, February 8–10, 2021..The 16 full papers presented in this volume were carefully reviewed and selected from 371 submissions. The purpose of VISIGRAPP is to bring together researchers and practitioners interested in both theoretical advances and
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The Emigrant Communities of Latvians at specific locations. A pilot study was followed to understand the impact of haptic stimulation on viewers of video content in a passive VR environment. Results showed a correlation between heart rate and the presented content; complimenting the technical data recorded.
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Emotions, Personality, and PsychotherapySSNP method in detail by studying its hyperparameter space and pseudo-labeling strategies. We show how these affect SSNP’s quality and how to set them to optimal values based on extensive evaluations involving multiple datasets, DR methods, and clustering algorithms.
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