Subspace-based methods rely on dominant element selection from second order statistics. They have been extended to tensor processing, in particular to tensor data filtering. For t...
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Recent attention on correlated multi-input multi-output systems has centered around the case of imperfect channel or statistical information at the transmitter. The focus of this ...
Vasanthan Raghavan, Ada S. Y. Poon, Venugopal V. V...
This paper is about the elicitation of the requirements for an intelligent interface for a software test development environment that will accommodate the physically challenged (P...
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...