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...
A method is presented for identifying individuals by shape, given a sequence of noisy silhouettes segmented from video. A spectral partitioning framework is used to cluster similar...
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
—In this paper, we present a novel multi-carrier spread spectrum (MCSS) system which uses Parallel Sequence Spread Spectrum (PSSS) as its spreading transform. This technique call...
Paulo Isagani M. Urriza, Joel Joseph S. Marciano J...
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...