Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Ada...
This paper examines the power of different nonrigid registration models to detect changes in TBM, and their stability when no real changes are present. Specifically, we investigat...
Igor Yanovsky, Paul M. Thompson, Stanley Osher, Xu...
In this paper, we introduce a new algorithm for corner detection. Instead of calculating the gradients along x and y-axes, which is the common step of many existed algorithms, we ...