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pro vyhledávání: '"BRANCH, JOHN"'
Given the increased growing of Internet of Things networks and their presence in critical aspects of human activities, the security of devices connected to these networks becomes critical. Machine Learning approaches are becoming prominent as enabler
Externí odkaz:
http://arxiv.org/abs/2203.00608
Cloud applications have reshaped the model of services and infrastructure of the Internet. Search engines, social networks, content delivery and retail and e-commerce sites belong to this group of applications. An important element in the architectur
Externí odkaz:
http://arxiv.org/abs/2203.00548
Autor:
Gutiérrez, Sergio Armando, Branch, John Willian, Gaspary, Luciano Paschoal, Botero, Juan Felipe
The advent of Programmable Data Planes represents an outstanding evolution and complete revolution of the Software- Defined Networking paradigm. The capacity to define the entire behavior of forwarding devices by controlling the packet parsing proced
Externí odkaz:
http://arxiv.org/abs/2106.00239
Autor:
Patiño, Diego, Branch, John
We present the CPMA, a new method for medial axis pruning with noise robustness and equivariance to isometric transformations. Our method leverages the discrete cosine transform to create smooth versions of a shape $\Omega$. We use the smooth shapes
Externí odkaz:
http://arxiv.org/abs/2012.02910
Publikováno v:
ISBN: 978-1-78561-652-5 July 2017
This paper presents a motorcycle classification system for urban scenarios using Convolutional Neural Network (CNN). Significant results on image classification has been achieved using CNNs at the expense of a high computational cost for training wit
Externí odkaz:
http://arxiv.org/abs/1808.09273
We present a superpixel-based strategy for segmenting skin lesion on dermoscopic images. The segmentation is carried out by over-segmenting the original image using the SLIC algorithm, and then merge the resulting superpixels into two regions: health
Externí odkaz:
http://arxiv.org/abs/1808.06759