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pro vyhledávání: '"Garber, Solomon"'
As deep neural networks (DNNs) have been integrated into critical systems, several methods to attack these systems have been developed. These adversarial attacks make imperceptible modifications to an image that fool DNN classifiers. We present an ad
Externí odkaz:
http://arxiv.org/abs/1803.00940
CNNs are poised to become integral parts of many critical systems. Despite their robustness to natural variations, image pixel values can be manipulated, via small, carefully crafted, imperceptible perturbations, to cause a model to misclassify image
Externí odkaz:
http://arxiv.org/abs/1801.08926
It has long been considered a significant problem to improve the visual quality of lossy image and video compression. Recent advances in computing power together with the availability of large training data sets has increased interest in the applicat
Externí odkaz:
http://arxiv.org/abs/1612.08712
Autor:
Garber, Solomon E
This dissertation presents techniques for generating static representations of video content,which can be used for video compression, video generation, and for allowing users to more
efficiently locate information in videos and video databases.
efficiently locate information in videos and video databases.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5538f9fc400beb04ac3593e0cda14b0a
Publikováno v:
2014 16th International Symposium on Symbolic & Numeric Algorithms for Scientific Computing; 2014, p367-374, 8p
