Titlebook: Advances in Visual Computing; 15th International S George Bebis,Zhaozheng Yin,George Baciu Conference proceedings 2020 Springer Nature Swit

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Referenced Based Color Transfer for Medical Volume Renderinge reference image recommendation system to aid for selection of good reference images. With our approach, we successfully perform colored medical volume visualization and essentially eliminate the painstaking process of user interaction with a transfer function to obtain color parameters for volume

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0302-9743 ng..Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for robotics; statistical pattern recognition; posters.978-3-030-64555-7978-3-030-64556-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-030-10871-7. Our results both qualitatively show and empirically quantify the amount of protection and stability sparse representations lend to machine learning robustness in the context of adversarial examples and class attribution.

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Syeda Tahmina Tasnim,Humayra Alamferent approach that can challenge deep learning without the effects of adversarial attacks. The first one has not been solved yet, and adversarial attacks have become even more complex to defend. Therefore, this work presents a Deep Genetic Programming method, called Brain Programming, that compete

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Fatima Zahra Boughanem,Etienne Wolffhe image of a cat is easy to identify, we consider cat sketches selected from the . data set. This paper compares the proposed model with the original Sketch-RNN on 75K human-drawn cat sketches. The result indicates that our model produces sketches with higher quality than human’s sketches.

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Conservation of Architectural Heritage (CAH)chnique that finds individual and unbounded dropout rates for each neural network weight. Experiments on the PASCAL VOC benchmark dataset show promising results where variational dropout combined with the most efficient YOLOv3 variant lead to an extremely sparse solution that reduces 95% of the base

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