In this paper, we present a novel algorithm for incremental principal component analysis. Based on the LargestEigenvalue-Theory, i.e. the eigenvector associated with the largest ei...
The ability to identify and present the most essential aspects of time-varying data is critically important in many areas of science and engineering. This paper introduces an impor...
Goal-directed guidance of gaze control based on coordinated task and stimulus parameters is essential for steering a mobile cognitive system efficiently and autonomously through t...
We propose a criterion, called `maximal redundancy', for onset detection in time series. The concept redundancy is adopted from information theory and indicates how well a si...
This paper addresses the problem of approximate singular value decomposition of large dense matrices that arises naturally in many machine learning applications. We discuss two re...