A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
Analysis of a comprehensive set of features extracted from blogs for prediction of movie sales is presented. We use correlation, clustering and time-series analysis to study which...
Eldar Sadikov, Aditya G. Parameswaran, Petros Vene...
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing of the Earth. The high spatial and spectral resolution of the images supplied ...
Considerable research has focused on the problem of scheduling dynamically arriving independent parallel jobs on a given set of resources. There has also been some recent work in ...
Mohammad Islam, Pavan Balaji, P. Sadayappan, Dhaba...