Results 231 to 240 of about 6,799,249 (280)

Online anomaly detection with constant false alarm rate

open access: yes2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), 2015
We propose a computationally highly scalable online anomaly detection algorithm for time series, which achieves with no parameter tuning a specified false alarm rate while minimizing the miss rate. The proposed algorithm sequentially operates on a fast streaming temporal data, extracts the nominal attributes under possibly varying Markov statistics and
Huseyin Ozkan   +3 more
openaire   +3 more sources

Constant False Alarm Rate for Online one Class Svm Learning

open access: yes2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Many one class SVM applications require online learning technique when time series data are encountered. Most of the existing methods for online SVM learning are based on C SVM without adapting the constraint parameter dynamically as the number of training samples increases.
Xue, Yongjian, Beauseroy, Pierre
openaire   +4 more sources

Geometric mean switching constant false alarm rate detector

Digital Signal Processing, 2017
Abstract Switching based detectors provide a robust solution to the problem of managing interference in sliding window detection processes. Recent developments have shown how such a detector can be formulated for the case of target detection in Pareto distributed clutter, which is a new model for X-band maritime surveillance radar clutter returns ...
Graham V Weinberg
exaly   +2 more sources

Analysis of a dual order statistic constant false alarm rate detector

IEEE Transactions on Aerospace and Electronic Systems, 2016
A dual order statistic detector is examined and shown to have the constant false alarm rate property when the clutter is modelled by a certain class of distributions. For the case of Pareto distributed clutter, mathematical analysis establishes some rules of thumb that can be used to select appropriate order statistic indices.
Graham V. Weinberg, Aris Alexopoulos
exaly   +2 more sources

The constant false alarm rate property in transformed noncoherent detection processes

Digital Signal Processing, 2016
Abstract Recently a transformation approach for noncoherent radar detector design has been introduced, where the classical constant false alarm rate detectors for Exponentially distributed clutter are modified to operate in any clutter intensity model of interest.
Graham V Weinberg
exaly   +3 more sources

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