Now showing items 1-3 of 3
Towards Self-Adaptive Metric Learning on the Fly
(Association For Computing Machinery, Inc, 2019-05)
Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn a Mahalanobis or bilinear metric in an ...
Multistream Classification for Cyber Threat Data with Heterogeneous Feature Space
(Association for Computing Machinery, Inc, 2019-05)
Under a newly introduced setting of multistream classification, two data streams are involved, which are referred to as source and target streams. The source stream continuously generates data instances from a certain ...
Specification and Analysis of ABAC Policies via the Category-Based Metamodel
(Assoc Computing Machinery, 2019-03-25)
The Attribute-Based Access Control (ABAC) model is one of the most powerful access control models in use. It subsumes popular models, such as the Role-Based Access Control (RBAC) model, and can also enforce dynamic policies ...