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Proceedings of the May 6-10, 1974, national computer conference and exposition on - AFIPS '74, 1974
Recent experience in computer security has illustrated the susceptibility of numerous operating systems to hostile penetration. Successful penetrations have been directed at manufacturers' conventional operating systems as well as special "secure" versions that have been the subjects of exhaustive efforts to find and fix all potential security problems.
Steven B. Lipner +6 more
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Recent experience in computer security has illustrated the susceptibility of numerous operating systems to hostile penetration. Successful penetrations have been directed at manufacturers' conventional operating systems as well as special "secure" versions that have been the subjects of exhaustive efforts to find and fix all potential security problems.
Steven B. Lipner +6 more
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Computer Graphics Forum, 2012
AbstractWe introduce the medial kernel, an association measure which provides for a robust construction of volume‐aware distances defined directly on point clouds. The medial kernel is a similarity measure defined as the likelihood of two points belonging to a common interior medial ball. We use the medial kernel to construct a random walk on the point
Matthew Berger, Cláudio T. Silva
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AbstractWe introduce the medial kernel, an association measure which provides for a robust construction of volume‐aware distances defined directly on point clouds. The medial kernel is a similarity measure defined as the likelihood of two points belonging to a common interior medial ball. We use the medial kernel to construct a random walk on the point
Matthew Berger, Cláudio T. Silva
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Journal of Economic Theory, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2013
Kernel methods have been used very successfully to classify data in various application domains. Traditionally, kernels have been constructed mainly for vectorial data defined on a specific vector space. Much less work has been addressing the development of kernel functions for non-vectorial data.
Baisero, Andrea +3 more
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Kernel methods have been used very successfully to classify data in various application domains. Traditionally, kernels have been constructed mainly for vectorial data defined on a specific vector space. Much less work has been addressing the development of kernel functions for non-vectorial data.
Baisero, Andrea +3 more
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Structural Parameterizations of Undirected Feedback Vertex Set: FPT Algorithms and Kernelization
Algorithmica, 2018Diptapriyo Majumdar, Venkatesh Raman
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Representative Sets and Irrelevant Vertices
Journal of the ACM, 2020Stefan Kratsch, Magnus Wahlstrom
exaly
A kernelization algorithm for d-Hitting Set
Journal of Computer and System Sciences, 2010Faisal Abu-Khzam
exaly
Scaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization
Australasian Conference on Artificial Intelligence, 2017Wanru Gao +3 more
semanticscholar +1 more source