The Stationary Subspace Analysis (SSA) algorithm linearly factorizes a high-dimensional time series into stationary and non-stationary components. The SSA Toolbox is a platform-independent efficient stand-alone implementation of the SSA algorithm with a graphical user interface written in Java, that can also be invoked from the command line and from Matlab. The graphical interface guides the us...

The robustness of a subspace generalized likelihood ratio test (GLRT) detector to signal mismatch is addressed for data conforming to the generalized multivariate analysis of variance model. This model assumes a deterministic signal of known form in the presence of unknown, colored, Gaussian noise. The subspace GLRT compresses data into a lower-dimensional subspace prior to detection. It is sho...

The problem of detecting outliers in multivariate data sets with continuous numerical features is addressed by a new method. This method combines projections into relevant subspaces archetype analysis nearest neighbor algorithm, through an appropriate ensemble the results. Our able to detect anomaly simple set linear correlation two features, while other methods fail recognize that anomaly. per...

With the popularity of multimedia technology, information is always represented or transmitted from multiple views. Most existing algorithms are graph-based ones to learn complex structures within multiview data but overlooked representations. Furthermore, many works treat views discriminatively by introducing some hyperparameters, which undesirable in practice. To this end, abundant based meth...