High-dimensional density estimation for data mining tasks
A Kuleshov, A Bernstein… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Consider a problem of estimating an unknown high dimensional density whose support lies
on unknown low-dimensional data manifold. This problem arises in many data mining tasks …
on unknown low-dimensional data manifold. This problem arises in many data mining tasks …
[PDF][PDF] Probabilistic Methods for Network Security
T Krueger - From Analysis to Response. PhD - mlsec.tu-berlin.de
Since the transition of batch-operated systems to time-sharing, multi-user systems, computer
security was of paramount interest: Files and information stored by one user should not be …
security was of paramount interest: Files and information stored by one user should not be …
[PDF][PDF] Probabilistic Methods for Network Security. From Analysis to Response
T Krueger - 2013 - depositonce.tu-berlin.de
Today's computer networks are constantly under attack: apart from a continuous amount of
network security threats like denial of service attacks or cross-site request forgeries, new …
network security threats like denial of service attacks or cross-site request forgeries, new …
Geometrically motivated nonstationary kernel density estimation on manifold
A Kuleshov, A Bernstein, Y Yanovich - International Symposium on …, 2018 - elibrary.ru
Consider a problem of estimating an unknown high dimensional density whose support lies
on unknown low-dimensional data manifold. This problem arises in many data mining tasks …
on unknown low-dimensional data manifold. This problem arises in many data mining tasks …