Trepo - Selaus tekijän mukaan "Gabbouj, M."
Viitteet 1-4 / 4
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Newton Method-Based Subspace Support Vector Data Description
IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (2023)
conferenceIn this paper, we present an adaptation of Newton's method for the optimization of Subspace Support Vector Data Description (S-SVDD). The objective of S-SVDD is to map the original data to a subspace optimized for ... -
One-Class Classification for Intrusion Detection on Vehicular Networks
IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (2023)
conferenceController Area Network bus systems within ve-hicular networks are not equipped with the tools necessary to ward off and protect themselves from modern cyber-security threats. Work has been done on using machine learning ... -
OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics
(2022)
conferenceExisting Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the ...
